BMVC 2004, Kingston, 7th-9th Sept, 2004

Activity Based Video Content Trajectory Representation and Segmentation
T. Xiang and S. Gong (Queen Mary, University of London)

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
(pdf article)