Pedestrian Detection
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Pedestrian Detection
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-04
Pedestrian Detection written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-04 with Computers categories.
What is Pedestrian Detection In any intelligent video surveillance system, the identification of pedestrians is a task that is both crucial and significant. This is because it supplies the fundamental information that is necessary for the semantic comprehension of the available video data. Considering the fact that it has the ability to enhance safety systems, it is apparent that it has applications in the automotive industry. In 2017, a number of automobile manufacturers provide this as an alternative to ADAS. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Pedestrian detection Chapter 2: Boosting (machine learning) Chapter 3: Canny edge detector Chapter 4: Image segmentation Chapter 5: Scale-invariant feature transform Chapter 6: Feature (computer vision) Chapter 7: People counter Chapter 8: Structure from motion Chapter 9: Takeo Kanade Chapter 10: Articulated body pose estimation (II) Answering the public top questions about pedestrian detection. (III) Real world examples for the usage of pedestrian detection in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Pedestrian Detection.
Vision Based Pedestrian Detection And Estimation With A Blind Corner Camera
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Author : Bastian Hartmann
language : en
Publisher: GRIN Verlag
Release Date : 2011-08-10
Vision Based Pedestrian Detection And Estimation With A Blind Corner Camera written by Bastian Hartmann and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-10 with Technology & Engineering categories.
Research paper from the year 2006 in the subject Electrotechnology, grade: 1,0, University Karlsruhe (TH), language: English, abstract: Avoiding collision accidents is becoming more and more an important topic in the research field of driver assistant systems. Especially for vision-based detection systems there are various approaches, which are built upon many different methods. This thesis deals with the avoidance of pedestrian accidents, caused by Blind Corner view problems. The presented approach comprises a pedestrian detection subsystem, which is part of a large camera system framework covering observation of the car environment. Based on a Blind Corner Camera and a neural network classification method, research in this thesis is focused on two aspects: detection improvement and danger level estimation. Since vision-based classification methods usually are still not able to yield perfect results, because of the complexity of this task, the detection result has to be improved by preprocessing and post processing. In this work, first, effects of image enhancement methods on detection are tested as preprocessing methods and, secondly, a new approach for a simple tracking and estimation strategy is presented, which improves detection in the way of a post processing method. Finally, information from tracking and prediction is used to estimate a danger level for pedestrians, which provides information about how collisionprone the current situations is.
Pedestrian Detection Algorithms Using Shearlets
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Author : Lienhard Pfeifer
language : en
Publisher: Logos Verlag Berlin GmbH
Release Date : 2019-01-15
Pedestrian Detection Algorithms Using Shearlets written by Lienhard Pfeifer and has been published by Logos Verlag Berlin GmbH this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-15 with Mathematics categories.
In this thesis, we investigate the applicability of the shearlet transform for the task of pedestrian detection. Due to the usage of in several emerging technologies, such as automated or autonomous vehicles, pedestrian detection has evolved into a key topic of research in the last decade. In this time period, a wealth of different algorithms has been developed. According to the current results on pedestrian detection benchmarks, the algorithms can be divided into two categories. First, application of hand-crafted image features and of a classifier trained on these features. Second, methods using Convolutional Neural Networks in which features are learned during the training phase. It is studied how both of these types of procedures can be further improved by the incorporation of shearlets, a framework for image analysis which has a comprehensive theoretical basis. To this end, we adapt the shearlet framework according to the requirements of the practical application of pedestrian detection algorithms. One main application area of pedestrian detection is located in the automotive domain. In this field, algorithms have to be runable on embedded devices. Therefore, we study the embedded realization of a pedestrian detection algorithm based on the shearlet transform.
Vision Based Pedestrian Protection Systems For Intelligent Vehicles
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Author : David Gerónimo
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-08-31
Vision Based Pedestrian Protection Systems For Intelligent Vehicles written by David Gerónimo 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 2013-08-31 with Computers categories.
Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.
Pedestrian Detection In Crowded Street Scenes
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Author : Edgar Seemann
language : en
Publisher:
Release Date : 2007
Pedestrian Detection In Crowded Street Scenes written by Edgar Seemann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Real Time Vision Based Pedestrian Detection
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Author : Guanglin Ma
language : de
Publisher:
Release Date : 2010
Real Time Vision Based Pedestrian Detection written by Guanglin Ma 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.
Vision Based Pedestrian Protection Systems For Intelligent Vehicles
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Author : David Geronimo
language : en
Publisher: Springer
Release Date : 2013-09-01
Vision Based Pedestrian Protection Systems For Intelligent Vehicles written by David Geronimo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-01 with Computers categories.
Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human’s appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness. In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.
Computer Vision And Graphics
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Author : Leonard Bolc
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-08
Computer Vision And Graphics written by Leonard Bolc 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 2009-06-08 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2008, held in Warsaw, Poland, in November 2008. The 48 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on image processing, image quality assessment, geometrical models of objects and scenes, motion analysis, visual navigation and active vision, image and video coding, virtual reality and multimedia applications, biomedical applications, practical applications of pattern recognition, computer animation, visualization and graphical data presentation.
Neural Information Processing
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Author : Masumi Ishikawa
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-16
Neural Information Processing written by Masumi Ishikawa 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 2008-06-16 with Computers categories.
The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Computer Vision Eccv 2014 Workshops
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Author : Lourdes Agapito
language : en
Publisher:
Release Date : 2015
Computer Vision Eccv 2014 Workshops written by Lourdes Agapito and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
The four-volume set LNCS 8925, 8926, 8927, and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included. .