Detection of Multiple Subevents in Space and Time for Video Analysis
نویسندگان
چکیده
This work presents a principled system based on statistical signal processing for the detection of regions of motion in video and the determination of time instants when there are changes in activities. Currently, the detection of temporal changes in video detects different shots instead of changes in activities. Areas of activity are first found by processing higher order statistics of illumination changes. Subsequently, change detection techniques are applied to sequentially estimated likelihood ratios of the illumination changes, to find changes in their distribution, that correspond to the beginnning or end of activity. Experiments with real videos demonstrate the accuracy of the temporal and spatial localization as well as their usefulness in practical applications.
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تاریخ انتشار 2008