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In this paper, we propose an algorithm of anomaly detection in crowded scenes by using sparse representation over the normal bases. First, the histogram of maximal optical flow projection (HMOFP) features are extracted from a set of normal training data. Then, the online dictionary learning algorithm is used to train an optimal dictionary with proper redundancy, which is better than the dictionary...
In this paper, an algorithm of global anomaly detection in crowded scenes using the saliency in optical flow field is proposed. Before the process of extracting the histogram of maximal optical flow projection (HMOFP), the scale invariant feature transforms (SIFT) method is utilized to get the saliency map of optical flow field. On the basis of the HMOFP feature of normal frames, the online dictionary...
In this paper, we propose an algorithm of abnormal event detection in crowded scenes using sparse representation over the bases of normal motion feature descriptors. To construct an over-complete dictionary, we extract the histogram of maximal optical flow projection (HMOFP) feature from a set of normal training frames. Then the K-SVD dictionary training method is used to get a redundant dictionary...
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