Perceiving motion transitions in pedestrian crowds

Creating natural motion transitions between different motion clips is crucial for reusing and editing character animations. 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. In this paper, 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.

• Type: Journal
• Year: 2010
• Where: VRST
• Authors: Qin Gu, Chang Yun, Zhigang Deng
• Keywords: Motion Transitions, Motion Variations, Performance-oriented Crowd Applications, Virtual Reality, VRST 2010