We have developed an efficient solution to track a person in a moderately crowded scene and across multiple camera footprints. The technique developed works at near-video rate (15 fps) and fine-tuned to accommodate illumination changes in indoor scenes.

The tracker, developed, is robust in the sense that it can correctly follow the person we want to track in a scene containing around 100 people even if the camera view is obstructed for a few seconds.