TY - GEN
T1 - A combined SVM/HCRF model for activity recognition based on STIPs trajectories
AU - Selmi, Mouna
AU - El-Yacoubi, Mounim A.
AU - Dorizzi, Bernadette
PY - 2013/5/27
Y1 - 2013/5/27
N2 - In this paper, we propose a novel human activity recognition approach based on STIPs' trajectories as local descriptors of video sequences. This representation compares favorably with state of art feature extraction methods. In addition, we investigate the use of SVM/HCRF combination for temporal sequence modeling, where SVM is applied locally on short video segments to produce probability scores, the latter being considered as the input vectors to HCRF. This method constitutes a new contribution to the state of the art on activity recognition task. The obtained results demonstrate that our method is efficient and compares favorably with state of the art methods on human activity recognition.
AB - In this paper, we propose a novel human activity recognition approach based on STIPs' trajectories as local descriptors of video sequences. This representation compares favorably with state of art feature extraction methods. In addition, we investigate the use of SVM/HCRF combination for temporal sequence modeling, where SVM is applied locally on short video segments to produce probability scores, the latter being considered as the input vectors to HCRF. This method constitutes a new contribution to the state of the art on activity recognition task. The obtained results demonstrate that our method is efficient and compares favorably with state of the art methods on human activity recognition.
KW - Hidden conditional random field
KW - Human activity recognition
KW - SVM/HCRF combination
KW - Space-time interest points' trajectories
M3 - Conference contribution
AN - SCOPUS:84877966364
SN - 9789898565419
T3 - ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods
SP - 568
EP - 572
BT - ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods
T2 - 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
Y2 - 15 February 2013 through 18 February 2013
ER -