People Tracking and Re-Identification from Multiple Cameras
Ph. D. Defense
Speaker Name
Ergys Ristani
Location
LSRC D344
Date and Time
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In many surveillance or monitoring applications, one or more cameras view several people that move in an environment. Multi-person tracking amounts to using the videos from these cameras to determine who is where at all times. The problem is very challenging both computationally and conceptually. On one hand the amount of videos to process in enormous while near real-time performance is desired. On the other hand people's varying appearance due to lighting, occlusions, viewpoint changes, and unpredictable motion in blind spots make person re-identification challenging.
