Title :
Global Identification of Tracklets in Video Using Long Range Identity Sensors
Author :
Yu, Xunyi ; Ganz, Aura
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Amherst, MA, USA
fDate :
Aug. 29 2010-Sept. 1 2010
Abstract :
Reliable tracking of people in video and recovering their identities are of great importance to video analytics applications.For outdoor applications, long range identity sensors such as active RFID can provide good coverage in a large open space, though they only provide coarse location information. We propose a probabilistic approach using noisy inputs from multiple long range identity sensors to globally associate and identify fragmented tracklets generated by video tracking algorithms. We extend a network flow based data association model to recover tracklet identity efficiently. Our approach is evaluated using five minutes of video and active RFID measurements capturing four people wearing RFID tags and a couple of passersby. Simulation is then used to evaluate performance for larger number of targets under different scenarios.identities are of great importance to video analytics applications.For outdoor applications, long range identity sensors such as active RFID can provide good coverage in a large open space, though they only provide coarse location information. We propose a probabilistic approach using noisy inputs from multiple long range identity sensors to globally associate and identify fragmented tracklets generated by video tracking algorithms. We extend a network flow based data association model to recover tracklet identity efficiently. Our approach is evaluated using five minutes of video and active RFID measurements capturing four people wearing RFID tags and a couple of passersby. Simulation is then used to evaluate performance for larger number of targets under different scenarios.
Keywords :
sensor fusion; target tracking; video signal processing; active RFID measurements; coarse location information; fragmented tracklets identification; global identification; long range identity sensors; network flow based data association model; video tracking algorithms; Labeling; Noise measurement; RFID tags; Target tracking;
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-8310-5
DOI :
10.1109/AVSS.2010.46