Perceptual motion tracking from image sequences

This paper presents a method based on perceptual organization for tracking object motion within image sequences (or video). To achieve the characteristics of real-time, efficiency and robustness, a perceptual edge tracker was developed to extract generic edge tokens (GETS) on the fly. The GETS are defined qualitatively according to their descriptive properties. Object motion is tracked within the image sequence by computing the difference between GET streams in consecutive frames. Multiple moving objects are grouped by forming clusters of motion GET. Experimental results are provided.