Perceiving motion transitions in pedestrian crowds.

Perception of motion transitions in a pedestrian crowd is affected by many collective features such as crowd density, appearance variations, motion variations, and sub-group interaction patterns. We conducted a series of psychophysical experiments to investigate how these crowd features can influence human perception on walking motion transitions in a crowd when inexpensive motion blending algorithms are used. Our results provide useful implications and practical guidelines for performance-oriented crowd applications such as real-time games to improve the perceptual realism by effectively disguising motion transitions.