Unimore logo AImageLab

Detection of Abnormal Behaviors using a Mixture of Von Mises Distributions

Abstract: This paper proposes the use of a mixture of Von Mises distributions to detect abnormal behaviors of moving people. The mixture is created from an unsupervised training set by exploiting k-medoids clustering algorithm based on Bhattacharyya distance between distributions. The extracted medoids are used as modes in the multi-modal mixture whose weights are the priors of the specific medoid. Given the mixture model a new trajectory is verified on the model by considering each direction composing it as independent. Experiments over a real scenario composed of multiple, partially-overlapped cameras are reported.


Calderara, Simone; Cucchiara, Rita; Prati, Andrea "Detection of Abnormal Behaviors using a Mixture of Von Mises Distributions" 2007 IEEE Conference on advanced video and signal based surveillance : AVSS 2007, London (UK), pp. 141 -146 , 5-7 September 2007, 2007 DOI: 10.1109/AVSS.2007.4425300

 not available