Haar Cascades Object Recognition With Tkinter

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Haar Cascades Object Recognition With Tkinter

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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-12-15

Haar Cascades Object Recognition With Tkinter written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Computers categories.

In this project, we explored a Python script designed for object recognition using Haar Cascades within a graphical user interface (GUI) built with the Tkinter library. The script was organized into multiple modules, each serving a distinct purpose. The core functionality was encapsulated within the Form_Haar_Cascades class, which defined a Tkinter window containing various widgets for specifying parameters and visualizing object detection results. The class utilized Haar Cascades for detecting facial features, such as eyes, noses, and mouths, in images. It also integrated noise generation features through the Noise_Utils class, enhancing the versatility of the object recognition application. A key aspect of the script was the integration of noise parameters, allowing users to introduce different types of noise (e.g., Gaussian, salt-and-pepper) to the input image before applying Haar Cascades. This feature was facilitated by the Noise_Utils class, which utilized NumPy and OpenCV for image manipulation. Additionally, the GUI offered flexibility by enabling users to adjust Haar Cascades parameters, such as the scale factor, minimum neighbors, and line width, through interactive widgets. The plotting capabilities of the application were extended using the Plot_Utils class, which created a separate window for visualizing the results of Haar Cascades object detection. This additional functionality enhanced the user experience by providing a dedicated space for exploring the outcomes of different object detection scenarios. The modular design of the script, with distinct classes for Haar Cascades, noise generation, and plotting, promoted code organization and maintainability. The main program, represented by the Main_Program class, orchestrated the integration of these components, configuring the layout of the main Tkinter window, handling event bindings, and managing the overall flow of the GUI application. Finally, the script was encapsulated in a conditional block that checked if the script was executed as the main program. If so, it instantiated the Tkinter root window, initialized the Main_Program class, and entered the Tkinter event loop to display the GUI. This ensured that the application could be run independently, launching the GUI for users to interact with and explore Haar Cascades object recognition with integrated noise features.

Motion Analysis And Object Tracking Using Python And Tkinter

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Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2024-04-04

Motion Analysis And Object Tracking Using Python And Tkinter written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-04 with Computers categories.

The first project in chapter one, gui_optical_flow_robust_local.py, showcases Dense Robust Local Optical Flow (RLOF) through a graphical user interface (GUI) built using the OpenCV library within a tkinter framework. The project's functionality and structure are comprehensively organized, starting with the importation of essential libraries such as tkinter for GUI, PIL for image processing, imageio for video file reading, and OpenCV (cv2) for optical flow computations. The VideoDenseRLOFOpticalFlow class encapsulates the application's core functionality, initializing the GUI window, managing user interactions, and processing video frames for optical flow calculation and visualization. The GUI creation involves setting up widgets to display videos and control buttons for functions like opening files, playback control, and frame navigation. Optical flow is calculated using the Farneback method, and the resulting flow is visually presented alongside the original video frame. Mouse interaction capabilities enable users to pan the video frame and zoom in using the mouse wheel. Additionally, frame navigation features facilitate moving forward or backward through the video sequence. Error handling mechanisms are in place to provide informative messages during video processing. Overall, this project offers a user-friendly interface for exploring dense optical flow in video sequences, with potential for further customization and extension in optical flow research and applications. The second project in chapter one implements a graphical user interface (GUI) application for analyzing optical flow in video files using the Kalman filter. The application is built using the Tkinter library for the GUI components and OpenCV for image processing tasks such as optical flow computation. Upon execution, the application opens a window titled "Optical Flow Analysis with Kalman Filter" and provides functionalities for loading and playing video files. Users can open a video file through the "Open Video" button, which prompts a file dialog for file selection. Once a video file is chosen, the application loads it and displays the first frame on a canvas. The GUI includes controls for adjusting parameters such as the zoom scale, step size for optical flow computation, and displacement (dx and dy) for visualizing flow vectors. Users can interactively navigate through the video frames using buttons like "Play/Pause," "Stop," "Previous Frame," and "Next Frame." Additionally, there's an option to jump to a specific time in the video. The core functionality of the application lies in the show_optical_flow method, where optical flow is calculated using the Farneback method from OpenCV. The calculated optical flow is then filtered using a Kalman filter to improve accuracy and smoothness. The Kalman filter predicts the position of flow vectors and corrects them based on the measured flow values, resulting in more stable and reliable optical flow visualization. Overall, this application provides a user-friendly interface for visualizing optical flow in video files while incorporating a Kalman filter to enhance the quality of the flow estimation. It serves as a practical tool for researchers and practitioners in computer vision and motion analysis fields. The third project in chapter one presents a GUI application for visualizing optical flow through Lucas-Kanade estimation on video data. Utilizing Tkinter for GUI elements and integrating OpenCV, NumPy, Pillow, and imageio for video processing and visualization, the application opens a window titled "Optical Flow Analysis with Lucas Kanade" upon execution. Users can interact with controls to load video files, manipulate playback, adjust visualization parameters, and navigate frames. The GUI comprises video display, control, and optical flow panels, with functionalities including video loading, playback control, frame display, Lucas-Kanade optical flow computation, and error handling for stability. The VideoLucasKanadeOpticalFlow class encapsulates the application logic, defining event handlers for user interactions and facilitating seamless video interaction until window closure. The fourth project in chapter one features a graphical user interface (GUI) for visualizing Gaussian pyramid optical flow on video files, employing Tkinter for GUI components and OpenCV for optical flow calculation. Upon execution, the application opens a window titled "Gaussian Pyramid Optical Flow," enabling users to interact with video files. Controls include options for opening videos, adjusting zoom scale, setting step size for optical flow computation, and navigating frames. The core functionality revolves around the show_optical_flow method, which computes Gaussian pyramid optical flow using the Farneback method from OpenCV. This method calculates optical flow vectors between consecutive frames, visualized via lines and circles on an empty mask image displayed alongside the original video frame, facilitating the observation of motion patterns within the video. The "Face Detection in Video Using Haar Cascade" project as first project in chapter two, is aimed at detecting faces in video streams through Haar Cascade, a machine learning-based approach for object detection. The application offers a Tkinter-based graphical user interface (GUI) featuring functionalities like opening video files, controlling playback, adjusting zoom levels, and navigating frames. Upon selecting a video file, OpenCV processes each frame using the Haar Cascade classifier to detect faces, which are then outlined with rectangles. Users can interactively play, pause, stop, and navigate through video frames, observing real-time face detection. This project serves as a simple yet effective tool for visualizing and analyzing face detection in videos, suitable for educational and practical purposes. The "Object Tracking with Lucas Kanade" project is the second project in chapter two aimed at tracking objects within video streams using the Lucas-Kanade optical flow algorithm. Built with Tkinter for the graphical user interface (GUI) and OpenCV for video processing, it offers comprehensive functionalities for efficient object tracking. The GUI setup includes buttons for opening video files, playback control, and bounding box selection around objects of interest on the video display canvas. Video loading supports various formats, and playback features enable seamless navigation through frames. The core functionality lies in object tracking using the Lucas-Kanade algorithm, where bounding box coordinates are continuously updated based on estimated motion. Real-time GUI updates display current frames, frame numbers, and tracked object bounding boxes, while error handling ensures smooth user interaction. Overall, this project provides a user-friendly interface for accurate and efficient object tracking in video streams, making it a valuable tool for various applications. The third project in chapter two offers real-time object tracking in video streams using the Lucas-Kanade algorithm with Gaussian Pyramid for robust optical flow estimation. Its Tkinter-based graphical user interface (GUI) enables users to interact with the video stream, visualize tracking processes, and control parameters effectively. Upon application launch, users access controls for video loading, zoom adjustment, playback control, frame navigation, and center coordinate display clearance. The core track_object method tracks specified objects within video frames using Lucas-Kanade optical flow with Gaussian Pyramid, continuously updating bounding box coordinates for smooth and accurate tracking. As the video plays, users observe real-time motion of the tracked object's bounding box, reflecting its movement in the scene. With efficient frame processing, display updates, and intuitive controls, the application ensures a seamless user experience, suitable for diverse object tracking tasks. The fourth project in chapter two implements object tracking through the CAMShift (Continuously Adaptive Mean Shift) algorithm within a Tkinter-based graphical user interface (GUI). CAMShift, an extension of the Mean Shift algorithm, is tailored for object tracking in computer vision applications. Upon running the script, a window titled "Object Tracking with CAMShift" emerges, housing various GUI components. Users can open a video file via the "Open Video" button, loading supported formats such as .mp4, .avi, or .mkv. Playback controls allow for video manipulation, including play, pause, stop, and frame navigation, complemented by a zoom adjustment feature. During playback, the current frame number is displayed, aiding progress tracking. The core functionality centers on object tracking, where users can draw a bounding box around the object of interest on the video canvas. The CAMShift algorithm then continuously tracks this object within the bounding box across subsequent frames, updating its position in real-time. Additionally, the GUI presents the center coordinates of the bounding box in a list box, enhancing tracking insights. In summary, this script furnishes a user-friendly platform for object tracking via the CAMShift algorithm, facilitating visualization and analysis of object movement within video files. The fifth project in chapter two implements object tracking utilizing the MeanShift algorithm within a Tkinter-based graphical user interface (GUI). The script organizes its functionalities into five components: GUI Setup, GUI Components, Video Playback and Object Tracking, Bounding Box Interaction, and Main Function and Execution. Firstly, the script initializes the GUI window and essential attributes, including video file details and tracking status. Secondly, it structures the GUI layout, incorporating panels for video display and control buttons. Thirdly, methods for video playback control and object tracking are provided, enabling functionalities like opening video files, playing/pausing, and navigating frames. The MeanShift algorithm tracks objects within bounding boxes interactively manipulated by users through click-and-drag interactions. Lastly, the main function initializes the GUI application and starts the Tkinter event loop, launching the MeanShift-based object tracking interface. Overall, the project offers an intuitive platform for video playback, object tracking, and interactive bounding box manipulation, supporting diverse computer vision applications such as object detection and surveillance. The sixth project in chapter two introduces a video processing application utilizing the Kalman Filter for precise object tracking. Implemented with Tkinter, the application offers a graphical user interface (GUI) enabling users to open video files, control playback, and navigate frames. Its core objective is to accurately track a specified object across video frames. Upon initialization, the GUI elements, including control buttons, a canvas for video display, and a list box for center coordinate representation, are set up. The Kalman Filter, initialized with appropriate matrices for prediction and correction, enhances tracking accuracy. Upon opening a video file, the application loads and displays the first frame, enabling users to manipulate playback and frame navigation. During playback, the Kalman Filter algorithm is employed for object tracking. The track_object method orchestrates this process, extracting the region of interest (ROI), calculating histograms, and applying Kalman Filter prediction and correction steps to estimate the object's position. Updated bounding box coordinates are displayed on the canvas, while center coordinates are added to the list box. Overall, this user-friendly application showcases the Kalman Filter's effectiveness in video object tracking, providing smoother and more accurate results compared to traditional methods like MeanShift.

Advances In Networks Intelligence And Computing

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Author : Ashok Kumar
language : en
Publisher: CRC Press
Release Date : 2024-05-24

Advances In Networks Intelligence And Computing written by Ashok Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Computers categories.

The year 2023 marks the 100th birth anniversary of E.F. Codd (19 August 1923 - 18 April 2003), a computer scientist, who while working for IBM invented the relational model for database management, the theoretical basis for relational databases and relational database management systems. He made other valuable contributions to computer science but the relational model, a very influential general theory of data management, remains his most mentioned, analyzed, and celebrated achievement. School of Computer Application, under the aegis of Lovely Professional University, pays homage to this great scientist of all times by hosting “CODD100 – International Conference on Networks, Intelligence and Computing (ICONIC-2023)”.

Recent Advances In Sustainable Technologies

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Author : Kanishka Jha
language : en
Publisher: Springer Nature
Release Date : 2021-05-17

Recent Advances In Sustainable Technologies written by Kanishka Jha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-17 with Technology & Engineering categories.

This book presents select proceedings of the International Conference on Advances in Sustainable Technologies (ICAST 2020), organized by Lovely Professional University, Punjab, India. The topics covered in this book are multidisciplinary in nature. The primary topics included in the book are from the domains of automobile engineering, mechatronics, material science and engineering, aerospace engineering, bio-mechanics, biomedical instrumentation, mathematical techniques, agricultural engineering, nuclear engineering, physics, biodynamic modelling and ergonomics etc. The contents of this book will be beneficial for beginners, researchers, and professionals alike.

Human Gait

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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-06-05

Human Gait written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-05 with Technology & Engineering categories.

This book introduces the reader to the deeper details of the human gait process. To this end, it takes a multidisciplinary approach, covering all the fields involved in the gait pattern: biomechanics, neuroscience, and even technology (from the point of view of detecting anomalies and improving them). From the basics of walking to the latest scientific advances, the aim is to bring together the knowledge of experts in the field to provide a multidisciplinary view of this area of study. The target audience for this book is not only the scientific community but also clinicians and readers interested in unlocking the secrets of the walking process. Through this book, readers will discover how in-depth knowledge of human gait can change their perception of rehabilitation, sports performance, or even their own everyday mobility. On behalf of the editors of this book, we recommend that you take a look at all that Human Gait - Recent Findings and Research has to offer. The works contained in this book are the result of careful selection and evaluation, making this book an essential resource for those who want to learn about the human gait pattern.

Recent Developments In Electronics And Communication Systems

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Author : KVS Ramachandra Murthy
language : en
Publisher: IOS Press
Release Date : 2023-01-31

Recent Developments In Electronics And Communication Systems written by KVS Ramachandra Murthy and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-31 with Technology & Engineering categories.

Often, no single field or expert has all the information necessary to solve complex problems, and this is no less true in the fields of electronics and communications systems. Transdisciplinary engineering solutions can address issues arising when a solution is not evident during the initial development stages in the multidisciplinary area. This book presents the proceedings of RDECS-2022, the 1st international conference on Recent Developments in Electronics and Communication Systems, held on 22 and 23 July 2022 at Aditya Engineering College, Surampalem, India. The primary goal of RDECS-2022 was to challenge existing ideas and encourage interaction between academia and industry to promote the sort of collaborative activities involving scientists, engineers, professionals, researchers, and students that play a major role in almost all fields of scientific growth. The conference also aimed to provide an arena for showcasing advancements and research endeavors being undertaken in all parts of the world. A large number of technical papers with rich content, describing ground-breaking research from participants from various institutes, were submitted for presentation at the conference. This book presents 108 of these papers, which cover a wide range of topics ranging from cloud computing to disease forecasting and from weather reporting to the detection of fake news. Offering a fascinating overview of recent research and developments in electronics and communications systems, the book will be of interest to all those working in the field.

Evolution In Computational Intelligence

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Author : Vikrant Bhateja
language : en
Publisher: Springer Nature
Release Date : 2022-04-23

Evolution In Computational Intelligence written by Vikrant Bhateja and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-23 with Technology & Engineering categories.

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Evolution in Computational Intelligence. The conference papers included herein presents both theoretical as well as practical aspects of different areas like ANN and genetic algorithms, human-computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, multi-agent systems, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.

International Conference On Innovative Computing And Communications

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Author : Deepak Gupta
language : en
Publisher: Springer Nature
Release Date : 2020-08-01

International Conference On Innovative Computing And Communications written by Deepak Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-01 with Technology & Engineering categories.

This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

International Conference On Innovation Sustainability And Applied Sciences

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Author : Chithirai Pon Selvan
language : en
Publisher: Springer Nature
Release Date : 2025-02-11

International Conference On Innovation Sustainability And Applied Sciences written by Chithirai Pon Selvan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Technology & Engineering categories.

The book presents the proceedings of the International Conference on Innovation, Sustainability and Applied Sciences (ICISAS 2023), which took place in Dubai, UAE, on 09-11 December 2023. The conference is a unique opportunity to learn from leading researchers and professionals on how to collectively shape the future through innovation, sustainability, and scientific vigor. Topics include but are not limited to sustainable materials and manufacturing, renewable energy, cyber incident and security, information security risk management, and sustainable finance and investments, to name a few. The conference is meant to attract experts from diverse industries, including senior government leaders, policymakers, eminent scientists, academicians, researchers, technocrats, and students from various parts of the world. This multi-professional conference is dedicated to all applied specialized and interdisciplinary fields.

Intelligent Computing Smart Communication And Network Technologies

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Author : Paulraj Dassan
language : en
Publisher: Springer Nature
Release Date : 2024-11-19

Intelligent Computing Smart Communication And Network Technologies written by Paulraj Dassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Computers categories.

This book constitutes the refereed proceedings of the First International Conference on Intelligent Computing, Smart Communication and Network Technologies, ICICSCNT 2023, held in Chennai, India, during April 26–27, 2023. The 36 full papers included in this book were carefully reviewed and selected from 782 submissions. The main aim of ICICSCNT 2023 is to present the state-of-the-art research innovations and results in the area of intelligent systems and advanced control technologies and real-world applications in ICT research, particularly covering autonomous systems, artificial intelligence, sensing, hardware and software implementation, soft computing, optimization, intelligent control design, intelligent system integration and control applications, and other relevant research areas.