An algorithm for segmenting moving vehicles

An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains 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 vehicle from noisy scenes.