Multi-view video segmentation and tracking for video surveillance
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In the world of video especially in video processing important steps are being taken at this time. Research projects around the world are tackling all kind of tracking problems and segmentation of video images. Others are doing feature extraction, image en ...
Visual surveillance is an important computer vision research problem. As more and more surveillance cameras appear around us, the demand for automatic methods for video analysis is increasing. Such methods have broad applications including surveillance for ...
Visual surveillance is an important computer vision research problem. As more and more surveillance cameras appear around us, the demand for automatic methods for video analysis is increasing. Such methods have broad applications including surveillance for ...
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 s ...
We propose a smart camera which performs video analysis and generates an MPEG-7 compliant stream. By producing a content-based metadata description of the scene, the MPEG-7 camera extends the capabilities of conventional cameras. The metadata is then direc ...
In this paper, we introduce a scheme for coding video surveillance camera networks. It is based on multiview and Distributed Video Coding (DVC). DVC is known for its low complexity encoders. This makes it very interesting for a wide range of applications, ...
We present an algorithm for tracking video object which is based on an hybrid strategy. This strategy uses both object and region information to solve the correspondence problem. Low level descriptors are exploited to track objects regions and to cope wit ...
Evaluation of the performance of video segmentation algorithms is important in both theoretical and practical considerations. This paper addresses the problem of video segmentation assessment, through both subjective and objective approaches, for the speci ...
The paper provides considerations relative to the application of 3D vision methods and presents some lessons learnt in this respect by presenting four 3D vision tasks and discussing the selection of vision sensing devices meant to solving the task. After a ...
We present a system that generates annotated video in realtime. Moving objects are first automatically extracted by means of video analysis and then coded using MPEG4. Moreover, an MPEG7 description of object features is generated. This description is us ...