A comprehensive scheme of temporal profile of surveillance video is proposed.
It provides the sampling selection, analyzes properties of shape and motion of the temporal profile, develop the algorithms to detect dynamic targets, and measure their motion direction.
Finally, the visualization of targets with multiple temporal slices with transparency is provided.
Further, robust object detection based on background updating, and real time data transmission of is given.
A comparison of our method with other video indexing methods is also given.