Abstract: In order to solve the problem of low detection rate when targets enter/leave the field of view, or targets are partially occluded, a multi moving targets detection algorithm based on spatio- temporal context is proposed. Firstly, the time context information is used to extract the candidate target region, which is based on the forward and backward motion history map. Secondly, the spatial context information and the target apparent information are used to calculate the target confidence map, which is based on the sparsely encoded CRF model. Finally, the target confidence of the candidate target region is calculated to detect the multiple moving targets. The experimental results show that the proposed algorithm has good detection performance, and it has higher recall rate, precision and F measure than other multi-target detection algorithms under the condition of guaranteeing high positioning accuracy.

Key words: multiple moving targets detection, complex background, spatio-temporal context, forward and backward motion history map ,  ,