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Maneuvering target tracking is a big challenge to the performance of a visual tracker. The paper proposes a method to keep the tracker robust to target maneuvering by selecting discriminative features from a large feature space, and constructing a velocity motion model with adaptive noise variance. Furthermore, the feature selection procedure is embedded into the particle filtering process with the...
An adaptive shadow removal algorithm with background subtraction method based on shadow position and edges attributes is presented. Accumulative frames differences of symmetrical frames are adopted to detect the moving regions approximately, and the moving regions templates are constructed through static index, then the background model is built by the statistics of brightness information. On the...
Time-shift is a crucial function of interactive televisions as like DVR and Internet TV broadcasting services. Automatic important event detection allows users utilize time- shift function conveniently. In this paper, we propose a method to extract important events in baseball videos. In the proposed method, we first detect play scenes and audio events separately from video and audio tracks. For robust...
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