Sparse representation has been applied successfully in abnormal event detection, in which
the baseline is to learn a dictionary accompanied by sparse codes. While much emphasis is …

Sparse representation has been applied successfully in abnormal event detection, in which
the baseline is to learn a dictionary accompanied by sparse codes. While much emphasis is …

Sparse representation has been applied successfully in many image analysis applications,
including abnormal event detection, in which a baseline is to learn a dictionary from the …

Sparse representation based anomaly detection algorithms have received a widely interest
in recent years. However, most of the existing approaches fail to pay attention to the …

Sparsity-based methods have been recently applied to abnormal event detection, and have
achieved impressive results. However, most such methods fail to consider the relationship …

Unusual event detection in crowded scenes remains challenging because of the diversity of
events and noise. In this paper, we present a novel approach for unusual event detection via …

We propose to detect abnormal events via a sparse subspace clustering algorithm. Unlike
most existing approaches, which search for optimized normal bases and detect abnormality …

Anomaly detection in videos is still a challenging task among the computer vision
community. In this paper, an efficient anomaly detection method based on stacked sparse …

Recently the video surveillance market has developed rapidly, but judging whether there is
abnormal behavior in the video relying on manpower is too expensive. Therefore, a method …

The problem of detecting rare and unusual events in video is critical to the analysis of large
video datasets. Such events are identified as those occurrences within a sequence that …