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Recognition of multiple moving objects is a very important task for achieving user-cared knowledge to send to the base station in wireless video-based sensor networks. However, video based sensor nodes, which have constrained resources and produce huge amount of video streams continuously, bring a challenge to segment multiple moving objects from the video stream online. Traditional efficient clustering...
Video summarization has become an indispensable tool of any practical video content management system in large volume video data. In this paper, we propose a novel approach to automatically generate the video summary for broadcast news videos. Firstly, videos are pre-processed by shot detection, key frame extraction, and story segmentation. Then, a clustering algorithm based on affinity propagation...
Dynamic background modeling is an essential task for numerous visual surveillance applications such as incident detection and traffic management. Adaptive mixture models and nonparametric models are two popular methods for background modeling at present. However, it is usually too costly to perform for the both methods in real time, since they are both memory and computationally inefficient. To overcome...
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