An algorithm for segmenting moving vehicles

An algorithm for region-based moving object segmentation is presented. The gray-scale image segmentation based on the mean shift algorithm (MSA) is first performed to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constraints of the motion vector image is then carried out to detect moving pixels robustly. Finally, each homogeneous region is labeled as either a moving-object region or a non-moving-object region according to the number of moving pixels it contains. Experimental results show that our algorithm is effective and robust in segmenting moving vehicles from noisy scenes.