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In this paper, a novel concept of segmental singular value decomposition (SegSVD) is proposed to represent a motion pattern with a hierarchical structure. The similarity measure based on the SegSVD representation is also proposed. SegSVD is capable of capturing the temporal information of the time series. It is effective in matching patterns in a time series in which the start and end points of the...
In this paper, we designed a simple and fast visual surveillance system to track human position and to determine if any abnormal behavior like wall climbing and falling happened. By taking both time and background difference into considerations, illumination effects could be greatly reduced while calculating motion masks. Refinements including holes filling, shadow removal, and noise reduction are...
The motion of an articulated object can be very complex but the motions of its rigid parts are usually simple. Here a method is proposed to classify and segment the motion of an articulated object into simple motions in temporal and spatial domains. Simple motions are represented by the corresponding motion flow patterns. Both the motion detection and segmentation are accomplished by matching the...
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