A Computational Model for Motion Detection and Direction Discrimination in Humans

Seeing biological motion is very important for both humans and computers. Psychophysics experiments show that the ability of our visual system for biological motion detection and direction discrimination is different from that for simple translation [4]. But the existing quantitative models of motion perception can not explain these findings. We propose a computational model, which uses learning and statistical inference based on the joint probability density function (PDF) of the position and motion of the body, on stimuli similar to [4]. Our results are consistent with the psychophysics indicating that our model is consistent with human motion perception, accounting for both biological motion and pure translation.

• Type: Conference
• Year: 2000
• Where: HUMO
• Authors: Yang Song, Pietro Perona
• Keywords: Biological Motion, Biological Motion Detection, Computer Animation, HUMO 2000, Motion Perception