TY - GEN
T1 - Location-specific transition distributions for tracking
AU - Jacobs, Nathan
AU - Dixon, Michael
AU - Pless, Robert
PY - 2008
Y1 - 2008
N2 - Surveillance and tracking systems often observe the same scene over extended time periods. When object motion is constrained by the scene (for instance, cars on roads, or pedestrians on sidewalks), it is advantageous to characterize and use scene-specific and location-specific priors to aid the tracking algorithm. This paper develops and demonstrates a method for creating priors for tracking that are conditioned on the current location of the object in the scene. These priors can be naturally incorporated in a number of tracking algorithms to make tracking more efficient and more accurate. We present a novel method to sample from these priors and show performance improvements (in both efficiency and accuracy) for two different tracking algorithms in two different problem domains.
AB - Surveillance and tracking systems often observe the same scene over extended time periods. When object motion is constrained by the scene (for instance, cars on roads, or pedestrians on sidewalks), it is advantageous to characterize and use scene-specific and location-specific priors to aid the tracking algorithm. This paper develops and demonstrates a method for creating priors for tracking that are conditioned on the current location of the object in the scene. These priors can be naturally incorporated in a number of tracking algorithms to make tracking more efficient and more accurate. We present a novel method to sample from these priors and show performance improvements (in both efficiency and accuracy) for two different tracking algorithms in two different problem domains.
UR - http://www.scopus.com/inward/record.url?scp=50949105511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50949105511&partnerID=8YFLogxK
U2 - 10.1109/WMVC.2008.4544061
DO - 10.1109/WMVC.2008.4544061
M3 - Conference contribution
AN - SCOPUS:50949105511
SN - 1424420008
SN - 9781424420001
T3 - 2008 IEEE Workshop on Motion and Video Computing, WMVC
BT - 2008 IEEE Workshop on Motion and Video Computing, WMVC
T2 - 2008 IEEE Workshop on Motion and Video Computing, WMVC
Y2 - 8 January 2008 through 9 January 2008
ER -