The Experts below are selected from a list of 41106 Experts worldwide ranked by ideXlab platform
Touradj Ebrahimi - One of the best experts on this subject based on the ideXlab platform.
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Privacy in mini-drone based Video Surveillance
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2015Co-Authors: Margherita Bonetto, Giovanni Ramponi, Pavel Korshunov, Touradj EbrahimiAbstract:Mini-drones are increasingly used in Video Surveillance. Their areal mobility and ability to carry Video cameras provide new perspectives in visual Surveillance which can impact privacy in ways that have not been considered in a typical Surveillance scenario. To better understand and analyze them, we have created a publicly available Video dataset of typical drone-based Surveillance sequences in a car parking. Using the sequences from this dataset, we have assessed five privacy protection filters via a crowdsourcing evaluation. We asked crowdsourcing workers several privacy- and Surveillance-related questions to determine the tradeoff between intelligibility of the scene and privacy, and we present conclusions of this evaluation in this paper.
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using warping for privacy protection in Video Surveillance
International Conference on Digital Signal Processing, 2013Co-Authors: Pavel Korshunov, Touradj EbrahimiAbstract:The widespread use of digital Video Surveillance systems has also increased the concerns for violation of privacy rights. Since Video Surveillance systems are invasive, it is a challenge to find an acceptable balance between privacy of the public under Surveillance and the functionalities of the systems. Tools for protection of visual privacy available today lack either all or some of the important properties such as security of protected visual data, reversibility (ability to undo privacy protection), simplicity, and independence from the Video encoding used. In this paper, we propose an algorithm based on well-known warping techniques (common for animation and artistic purposes) to obfuscate faces in Video Surveillance, aiming to overcome these shortcomings. To demonstrate the feasibility of such an approach, we apply warping algorithm to faces in a standard Yale dataset and run face detection and recognition algorithms on the resulted images. Experiments demonstrate the tradeoff between warping strength and accuracy for both detection and recognition.
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Scrambling for Privacy Protection in Video Surveillance Systems
2010Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:Abstract—In this paper, we address the problem of privacy protection in Video Surveillance. We introduce two efficient approaches to conceal regions of interest (ROIs) based on transform-domain or codestream-domain scrambling. In the first technique, the sign of selected transform coefficients is pseudorandomly flipped during encoding. In the second method, some bits of the codestream are pseudorandomly inverted. We address more specifically the cases of MPEG-4 as it is today the prevailing standard in Video Surveillance equipment. Simulations show that both techniques successfully hide private data in ROIs while the scene remains comprehensible. Additionally, the amount of noise introduced by the scrambling process can be adjusted. Finally, the impact on coding efficiency performance is small, and the required computational complexity is negligible. Index Terms—Privacy, selective encryption, Surveillance, Video processing
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Scrambling for Privacy Protection in Video Surveillance Systems
IEEE Transactions on Circuits and Systems for Video Technology, 2008Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:In this paper, we address the problem of privacy protection in Video Surveillance. We introduce two efficient approaches to conceal regions of interest (ROIs) based on transform-domain or codestream-domain scrambling. In the first technique, the sign of selected transform coefficients is pseudorandomly flipped during encoding. In the second method, some bits of the codestream are pseudorandomly inverted. We address more specifically the cases of MPEG-4 as it is today the prevailing standard in Video Surveillance equipment. Simulations show that both techniques successfully hide private data in ROIs while the scene remains comprehensible. Additionally, the amount of noise introduced by the scrambling process can be adjusted. Finally, the impact on coding efficiency performance is small, and the required computational complexity is negligible.
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scrambling for Video Surveillance with privacy
Computer Vision and Pattern Recognition, 2006Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:In this paper, we address the problem of scrambling regions of interest in a Video sequence for the purpose of preserving privacy in Video Surveillance. We propose an efficient solution based on transform-domain scrambling. More specifically, the sign of selected transform coefficients is pseudo-randomly flipped during encoding. We address more specifically the two cases of MPEG-4 and Motion JPEG 2000. Simulation results show that the technique can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. Finally, this is achieved with a small impact on coding performance and negligible computational complexity increase.
Andrea Cavallaro - One of the best experts on this subject based on the ideXlab platform.
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privacy in Video Surveillance in the spotlight
IEEE Signal Processing Magazine, 2007Co-Authors: Andrea CavallaroAbstract:This article comments on how recent advances in Video Surveillance threaten privacy and how emerging signal processing technologies can protect privacy without risking security
Claude C Chibelushi - One of the best experts on this subject based on the ideXlab platform.
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classification of smart Video Surveillance systems for commercial applications
Advanced Video and Signal Based Surveillance, 2005Co-Authors: Mohamed Sedky, M Moniri, Claude C ChibelushiAbstract:Video Surveillance has a large market as the number of installed cameras around us can show. There are immediate commercial needs for smart Video Surveillance systems that can make use of the existing camera network (e.g. CCTV) for more intelligent security systems and to contribute in more applications (beside or) rather than security applications. This work introduces a new classification for smart Video Surveillance systems depending on their commercial applications. This paper highlights different links between the research and the commercial applications. The work reported here has both research and commercial motivations. Our goals are first to define a generic model of smart Video Surveillance systems that can meet requirements of strong commercial applications. Our second goal is to categorize different smart Video Surveillance applications and to relate capabilities of computer vision algorithms to the requirement of commercial application.
Frederic Dufaux - One of the best experts on this subject based on the ideXlab platform.
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Scrambling for Privacy Protection in Video Surveillance Systems
2010Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:Abstract—In this paper, we address the problem of privacy protection in Video Surveillance. We introduce two efficient approaches to conceal regions of interest (ROIs) based on transform-domain or codestream-domain scrambling. In the first technique, the sign of selected transform coefficients is pseudorandomly flipped during encoding. In the second method, some bits of the codestream are pseudorandomly inverted. We address more specifically the cases of MPEG-4 as it is today the prevailing standard in Video Surveillance equipment. Simulations show that both techniques successfully hide private data in ROIs while the scene remains comprehensible. Additionally, the amount of noise introduced by the scrambling process can be adjusted. Finally, the impact on coding efficiency performance is small, and the required computational complexity is negligible. Index Terms—Privacy, selective encryption, Surveillance, Video processing
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Scrambling for Privacy Protection in Video Surveillance Systems
IEEE Transactions on Circuits and Systems for Video Technology, 2008Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:In this paper, we address the problem of privacy protection in Video Surveillance. We introduce two efficient approaches to conceal regions of interest (ROIs) based on transform-domain or codestream-domain scrambling. In the first technique, the sign of selected transform coefficients is pseudorandomly flipped during encoding. In the second method, some bits of the codestream are pseudorandomly inverted. We address more specifically the cases of MPEG-4 as it is today the prevailing standard in Video Surveillance equipment. Simulations show that both techniques successfully hide private data in ROIs while the scene remains comprehensible. Additionally, the amount of noise introduced by the scrambling process can be adjusted. Finally, the impact on coding efficiency performance is small, and the required computational complexity is negligible.
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scrambling for Video Surveillance with privacy
Computer Vision and Pattern Recognition, 2006Co-Authors: Frederic Dufaux, Touradj EbrahimiAbstract:In this paper, we address the problem of scrambling regions of interest in a Video sequence for the purpose of preserving privacy in Video Surveillance. We propose an efficient solution based on transform-domain scrambling. More specifically, the sign of selected transform coefficients is pseudo-randomly flipped during encoding. We address more specifically the two cases of MPEG-4 and Motion JPEG 2000. Simulation results show that the technique can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. Finally, this is achieved with a small impact on coding performance and negligible computational complexity increase.
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privacy enabling technology for Video Surveillance
Mobile multimedia image processing for military and security applications. Conference, 2006Co-Authors: Frederic Dufaux, Mourad Ouaret, Yousri Abdeljaoued, Alfonso Navarro, Fabrice Vergnenegre, Touradj EbrahimiAbstract:In this paper, we address the problem privacy in Video Surveillance. We propose an efficient solution based on transform-domain scrambling of regions of interest in a Video sequence. More specifically, the sign of selected transform coefficients is flipped during encoding. We address more specifically the case of Motion JPEG 2000. Simulation results show that the technique can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. This is achieved with a small impact on coding performance and negligible computational complexity increase. In the proposed Video Surveillance system, heterogeneous clients can remotely access the system through the Internet or 2G/3G mobile phone network. Thanks to the inherently scalable Motion JPEG 2000 codestream, the server is able to adapt the resolution and bandwidth of the delivered Video depending on the usage environment of the client.
Sachin Sakhare - One of the best experts on this subject based on the ideXlab platform.
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image processing techniques for object tracking in Video Surveillance a survey
International Conference on Pervasive Computing, 2015Co-Authors: Shipra Ojha, Sachin SakhareAbstract:Many researchers are getting attracted in the field of object tracking in Video Surveillance, which is an important application and emerging research area in image processing. Video tracking is the process of locating a moving object or multiple objects over a time using camera. Due to key features of Video Surveillance, it has a variety of uses like human-computer interactions, security and Surveillance, Video communication, traffic control, public areas such as airports, underground stations, mass events, etc. Tracking a target in a cluttered premise is still one of the challenging problems of Video Surveillance. A sequential flow of moving object detection, its classification, tracking and identifying the behavior completes the processing framework of Video Surveillance. This paper takes insight into tracking methods, their categorization into different types, focuses on important and useful tracking methods. In this paper, we provide a brief overview of tracking strategies like region based, active contour based, etc with their positive and negative aspects. Different tracking methods are mentioned with detailed description. We review general strategies under literature survey on different techniques and finally stating the analysis of possible research directions.
