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We describe a system for content-based retrieval from large surveillance video archives, using behavior, action and appearance of objects. Objects are detected, tracked, and classified into broad categories. Their behavior and appearance are characterized by action detectors and descriptors, which are indexed in an archive. Queries can be posed as video exemplars, and the results can be refined through...
While wide-area video surveillance is an important application, it is often not practical, from a technical and social perspective, to have video cameras that completely cover the entire region of interest. For obtaining good surveillance results in a sparse camera networks requires that they be complemented by additional sensors with different modalities, their intelligent assignment in a dynamic...
We present an algorithm for illumination invariant 3D model based tracking and video compression. While model-based coding schemes are well developed, the compression rate reduces if the illumination conditions within the sequence change drastically. Our proposed scheme can accurately track under both slow and drastic changes of lighting and achieves a significant reduction in the bit rate compared...
We present a novel 3D model-based distributed video coding algorithm. It is based on independent, model-based tracking of multiple sources and distributed coding of the tracked feature points. The model-based tracking scheme provides correspondence between the overlapping set of features that are visible in the different views. While the motion estimates obtained from the tracking algorithm remove...
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