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A novel approach is developed to segment continuous CCTV recordings according to the activities captured in the scene. This approach differs from previous approaches which are mostly based on shot change detection and shot grouping. Video content is represented by constructing a cumulative multi-event histogram over time. An on-line segmentation algorithm is then proposed to detect breakpoints in the video content, which is more robust to noise and computationally much more efficient compared to existing on-line segmentation algorithms. Its performance is compared to that of two off-line algorithms on surveillance videos monitoring an aircraft ramp area. Our experiments demonstrate that this activity based video content representation is superior to a colour histogram based representation for surveillance video segmentation. 1
Xiang et al. (Thu,) studied this question.