Abstract
The aim of this project is to develop techniques for the automatic classification of events in a video using efficient
volumetric video structures. Based on developing 3D volume processing and pattern analysis methods such as filter, segmentation, edge/surface detection, morphology and template mapping, the technique can automate
recognition of specific events in a video which can be applied in video indexing and searching, surveillance, and
human-computer interactions.
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Spatio-Temporal_Volume_Based_Video_Event_Detection_-_Jing_Wang.pdf
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