TY - GEN
T1 - Interpretation of state sequences in HMM for activity representation
AU - Cuntoor, Naresh P.
AU - Yegnanarayana, B.
AU - Chellappa, Rama
PY - 2005
Y1 - 2005
N2 - We propose a method for activity representation based on semantic events, using the HMM framework. For every time instant, the probability of event occurrence is computed by exploring a subset of state sequences. The idea is that while activity trajectories may have large variations at the data or the state levels, they may exhibit similarities at the event level. Our experiments show the application of these events to activity recognition in an office environment and to anomalous trajectory detection using surveillance video data.
AB - We propose a method for activity representation based on semantic events, using the HMM framework. For every time instant, the probability of event occurrence is computed by exploring a subset of state sequences. The idea is that while activity trajectories may have large variations at the data or the state levels, they may exhibit similarities at the event level. Our experiments show the application of these events to activity recognition in an office environment and to anomalous trajectory detection using surveillance video data.
UR - http://www.scopus.com/inward/record.url?scp=33646687367&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646687367&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2005.1415503
DO - 10.1109/ICASSP.2005.1415503
M3 - Conference contribution
AN - SCOPUS:33646687367
SN - 0780388747
SN - 9780780388741
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - II709-II712
BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Proceedings - Image and Multidimensional Signal Processing Multimedia Signal Processing
T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Y2 - 18 March 2005 through 23 March 2005
ER -