TY - GEN
T1 - Detection and explanation of anomalous activities
T2 - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
AU - Hamid, Raffay
AU - Johnson, Amos
AU - Batta, Samir
AU - Bobick, Aaron
AU - Isbell, Charles
AU - Coleman, Graham
PY - 2005
Y1 - 2005
N2 - We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a representation of activities as bags of event n-grams, where we analyze the global structural information of activities using their local event statistics. We demonstrate how maximal cliques in an undirected edge-weighted graph of activities, can be used in an unsupervised manner, to discover regular sub-classes of an activity class. Based on these discovered sub-classes, we formulate a definition of anomalous activities and present a way to detect them. Finally, we characterize each discovered sub-class in terms of its "most representative member," and present an information-theoretic method to explain the detected anomalies in a human-interpretable form.
AB - We present a novel representation and method for detecting and explaining anomalous activities in a video stream. Drawing from natural language processing, we introduce a representation of activities as bags of event n-grams, where we analyze the global structural information of activities using their local event statistics. We demonstrate how maximal cliques in an undirected edge-weighted graph of activities, can be used in an unsupervised manner, to discover regular sub-classes of an activity class. Based on these discovered sub-classes, we formulate a definition of anomalous activities and present a way to detect them. Finally, we characterize each discovered sub-class in terms of its "most representative member," and present an information-theoretic method to explain the detected anomalies in a human-interpretable form.
UR - https://www.scopus.com/pages/publications/33745140905
U2 - 10.1109/CVPR.2005.127
DO - 10.1109/CVPR.2005.127
M3 - Conference contribution
AN - SCOPUS:33745140905
SN - 0769523722
SN - 9780769523729
T3 - Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
SP - 1031
EP - 1038
BT - Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
PB - IEEE Computer Society
Y2 - 20 June 2005 through 25 June 2005
ER -