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The following paper introduces a slightly enhanced version of the Selective approach for tracking individuals in video sequences. In this version, tracking is achieved by evaluating candidate regions located in the eight adjacent neighbors in addition to the current position. Evaluation is handled using the Bhattacharyya distance. A process of motion estimation is incorporated to allow readjustment...
Temporal invariant shape moments intuitively seem to provide an important visual cue to human activity recognition in video sequences. In this paper, an SVM based method for human activity recognition is introduced. With this method, the feature extraction is carried out based on a small number of computationally-cheap invariant shape moments. When tested on the popular KTH action dataset, the obtained...
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