Multi moving people detection from binocular sequences

Abstract

A novel approach for detection of multiple moving objects from binocular video sequences is reported. First an efficient motion estimation method is applied to sequences acquired from each camera. The motion estimation is then used to obtain cross camera correspondence between the stereo pair. Next, background subtraction is achieved by fusion of temporal difference and depth estimation. Finally moving foregrounds are further segmented into moving object according to a distance measure defined in a 2.5D feature space, which is done in a hierarchical strategy. The proposed approach has been tested on several indoor and outdoor sequences. Preliminary experiments have shown that the new approach can robustly detect multiple partially occluded moving persons in a noisy background. Representative human detection results are presented.