Video Based Motion Detection For Stationary And Moving Cameras
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Video Based Motion Detection For Stationary And Moving Cameras
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Author : Rui Wang
language : en
Publisher:
Release Date : 2014
Video Based Motion Detection For Stationary And Moving Cameras written by Rui Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
In real world monitoring applications, moving object detection remains to be a challenging task due to factors such as background clutter and motion, illumination variations, weather conditions, noise, and occlusions. As a fundamental first step in many computer vision applications such as object tracking, behavior understanding, object or event recognition, and automated video surveillance, various motion detection algorithms have been developed ranging from simple approaches to more sophisticated ones. In this thesis, we present two moving object detection frameworks. The first framework is designed for robust detection of moving and static objects in videos acquired from stationary cameras. This method exploits the benefits of fusing a motion computation method based on spatio-temporal tensor formulation, a novel foreground and background modeling scheme, and a multi-cue appearance comparison. This hybrid system can handle challenges such as shadows, illumination changes, dynamic background, stopped and removed objects. Extensive testing performed on the CVPR 2014 Change Detection benchmark dataset shows that FTSG outperforms most state-of-the-art methods. The second framework adapts moving object detection to full motion videos acquired from moving airborne platforms. This framework has two main modules. The first module stabilizes the video with respect to a set of base-frames in the sequence. The stabilization is done by estimating four-point homographies using prominent feature (PF) block matching, motion filtering and RANSAC for robust matching. Once the frame to base frame homographies are available the flux tensor motion detection module using local second derivative information is applied to detect moving salient features. Spurious responses from the frame boundaries and other post- processing operations are applied to reduce the false alarms and produce accurate moving blob regions that will be useful for tracking.
Key Frame Extraction Of Surveillance Video Based On Motion Analysis
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Author : Yunzuo Zhang
language : en
Publisher: Scientific Research Publishing, Inc. USA
Release Date : 2021-01-29
Key Frame Extraction Of Surveillance Video Based On Motion Analysis written by Yunzuo Zhang and has been published by Scientific Research Publishing, Inc. USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-29 with Social Science categories.
Surveillance video has a wide range of applications in many fields, such as national economic construction, public security information construction, and widely adopted countries worldwide. The infrastructure of the video surveillance system has begun to take shape and is still rapid expansion. As thousands of surveillance cameras monitor and record round the clock, the amount of video data has been explosive growth. Finding the required information in a large number of surveillance videos is undoubtedly a needle in a haystack. Motion is a significant feature of video, and much meaningful visual information is contained in the movement. In many application scenarios, like road traffic monitoring, security for major events, guidance for military aircraft, and autonomous vehicle, people tend to pay more attention to the moving object. The analysis shows that the key frame extraction of surveillance video based on motion analysis has important practical significance. Hence, this book puts forward several key frame extraction methods of surveillance video around capturing the target motion state.
Multimedia Video Based Surveillance Systems
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Author : Gian Luca Foresti
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Multimedia Video Based Surveillance Systems written by Gian Luca Foresti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Multimedia surveillance systems is an emerging field that includes signal and image processing, communications, and computer vision. Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions, combines the most recent research results from these areas for use by engineers and end-users involved in the design of surveillance systems in the fields of transportation and services. The book covers emerging surveillance requirements, including new digital sensors for real-time acquisition of surveillance data, low-level image processing algorithms, and event detection methods. It also discusses problems related to knowledge representation in surveillance systems, wireless and wired multimedia networks, and a new generation of surveillance communication tools. Timely information is presented on digital watermarking, broadband multimedia transmission, legal use of surveillance systems, performance evaluation criteria, and other new and emerging topics, along with applications for transports and pedestrian monitoring. The information contained in Multimedia Video-Based Surveillance Systems: Requirements, Issues and Solutions, bridges the distance between present practice and research findings, and the book is an indispensable reference tool for professional engineers.
Automated Event Recognition For Video Surveillance Systems
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Author : Wei Jin
language : en
Publisher:
Release Date : 2003
Automated Event Recognition For Video Surveillance Systems written by Wei Jin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Video surveillance systems need capabilities that go beyond simple recording and retrieving by date and time. Automated event recognition and scene understanding are becoming increasingly important to deal with the explosion of surveillance system data and the shortage of security personnel to analyze it. This thesis provides an overview of automated event recognition approaches for single stationary video camera surveillance systems. The motion detection module analyzes raw video and provides moving "blobs". The object tracking module tracks moving object, gives each object a unique identification and provides object properties. The event recognition module detects all kinds of events based on object properties and relationships among objects. Atomic events are defined to represent states of objects at an instant in time. Most atomic events can be detected directly from object properties. Several atomic events compose a basic event that represents change of state of an object during a very short period of time, usually less than one second. Complex events describe scenarios that usually happen over a longer period of time. A complex event is composed of several sub-events that may be basic events or other complex events. A deterministic finite state machine (DFA) is chosen to recognize complex events by matching object behavior with predefined complex event models. Besides video surveillance, the approaches described in this thesis can also be used to broader areas, such as scene understanding and image analysis.
Video Based Surveillance Systems
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Author : Graeme A. Jones
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Video Based Surveillance Systems written by Graeme A. Jones and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Monitoring of public and private sites has increasingly become a very sensitive issue resulting in a patchwork of privacy laws varying from country to country -though all aimed at protecting the privacy of the citizen. It is important to remember, however, that monitoring and vi sual surveillance capabilities can also be employed to aid the citizen. The focus of current development is primarily aimed at public and cor porate safety applications including the monitoring of railway stations, airports, and inaccessible or dangerous environments. Future research effort, however, has already targeted citizen-oriented applications such as monitoring assistants for the aged and infirm, route-planning and congestion-avoidance tools, and a range of environment al monitoring applications. The latest generation of surveillance systems has eagerly adopted re cent technological developments to produce a fully digital pipeline of digital image acquisition, digital data transmission and digital record ing. The resultant surveillance products are highly-fiexihle, capahle of generating forensic-quality imagery, and ahle to exploit existing Internet and wide area network services to provide remote monitoring capability.
Background Modeling And Foreground Detection For Video Surveillance
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Author : Thierry Bouwmans
language : en
Publisher: CRC Press
Release Date : 2014-07-25
Background Modeling And Foreground Detection For Video Surveillance written by Thierry Bouwmans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-25 with Computers categories.
Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements.Incorporating both establish
Feature Detectors And Motion Detection In Video Processing
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Author : Dey, Nilanjan
language : en
Publisher: IGI Global
Release Date : 2016-10-25
Feature Detectors And Motion Detection In Video Processing written by Dey, Nilanjan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-25 with Computers categories.
Video is one of the most important forms of multimedia available, as it is utilized for security purposes, to transmit information, promote safety, and provide entertainment. As motion is the most integral element in videos, it is important that motion detection systems and algorithms meet specific requirements to achieve accurate detection of real time events. Feature Detectors and Motion Detection in Video Processing explores innovative methods and approaches to analyzing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a critical reference source for professionals, researchers, advanced-level students, technology developers, and academicians.
Automated Video Processing And Scene Understanding For Intelligent Video Surveillance
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Author : Yu-Chia Chung
language : en
Publisher:
Release Date : 2010
Automated Video Processing And Scene Understanding For Intelligent Video Surveillance written by Yu-Chia Chung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Recent advances in key technologies have enabled the deployment of surveillance video cameras on various platforms, including stationary security cameras for infrastructure protection and public safety, UAV (unmanned aerial vehicles) cameras for persistent surveillance of battlefield, and cameras on mobile agents, such as vehicles, robots, and soldiers for site survey. There is an urgent need to develop advanced computational methods and tools for automated video processing and scene understanding to support various applications. In this dissertation, we develop advanced video processing and computer vision methods for automated video processing and scene understanding. We concentrate our efforts on the following four tightly coupled tasks: (1) Aerial video registration and moving object detection. We develop new similarity measures for local motion estimation and a reliability model to analyze the reliability of local motion estimation. Based on these two components, we develop a fast and reliable global camera motion estimation and video registration for aerial video surveillance. (2) 3-D change detection from moving cameras. We study the problem of detecting changes from multi-source videos which are captured by different moving cameras with unknown parameters at different times. We attack this problem by exploring a hierarchy of view-invariant image patch descriptors. Based on multi-scale local binary pattern (LBP) description of super-pixels and middle-level image patch labeling, we construct a hierarchy of image patch descriptors and detect changes in the video scene using multi-scale information fusion. (3) Cross-view building matching and retrieval from aerial surveillance videos. Identifying and matching buildings between camera views is useful for scene understanding, battlefield surveillance, geo-location and geo-tagging of videos and photos. Our central idea is to construct a semantically rich sketch-based representation for buildings which is invariant under large scale and perspective changes. (4) Collaborative video compression for UAV surveillance network. We study the problem of a network of small UAVs with limited computational and communication resources to perform collaborative video surveillance of the target environment. Based on distributed video coding, we develop a collaborative video compression scheme for a UAV surveillance network. Our extensive experimental results demonstrate that the proposed methods and tools for automated video processing and scene understanding are efficient and promising for surveillance applications.
Robust Motion Detection In Real Life Scenarios
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Author : Ester Martínez-Martín
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-10
Robust Motion Detection In Real Life Scenarios written by Ester Martínez-Martín and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-10 with Computers categories.
This work proposes a complete sensor-independent visual system that provides robust target motion detection. First, the way sensors obtain images, in terms of resolution distribution and pixel neighbourhood, is studied. This allows a spatial analysis of motion to be carried out. Then, a novel background maintenance approach for robust target motion detection is implemented. Two different situations are considered: a fixed camera observing a constant background where objects are moving; and a still camera observing objects in movement within a dynamic background. This distinction lies on developing a surveillance mechanism without the constraint of observing a scene free of foreground elements for several seconds when a reliable initial background model is obtained, as that situation cannot be guaranteed when a robotic system works in an unknown environment. Other problems are also addressed to successfully deal with changes in illumination, and the distinction between foreground and background elements.
Moving Object Detection And Segmentation For Remote Aerial Video Surveillance
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Author : Teutsch, Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-03-11
Moving Object Detection And Segmentation For Remote Aerial Video Surveillance written by Teutsch, Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-11 with Electronic computers. Computer science categories.
Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.