Video techniques enable tracking of multiple people indoors

Researchers at Carnegie Mellon University have developed a method for tracking the locations of multiple individuals in complex, indoor settings using a network of video cameras.

The method was able to automatically follow the movements of 13 people within a nursing home, even though individuals sometimes moved out of view of the cameras. To track them, the researchers made use of multiple cues (apparel colour, person detection, trajectory and facial recognition) from the video feed.