Interactive Human Motion Acquisition from Video Sequences
نویسندگان
چکیده
Human motion modeling for animation and VR has reached a level of capturing real motion data from people using various visual and non-visual sensors. However, most of the available systems require special devices and environment, or even attach extra things onto an actor. To realize a personal system, we developed a general type software to acquire arbitrary motion from a video sequence. A 3D articulate human model with changeable size, color and surface shape is constructed and personalized to fit with a focused figure in the video. The personal model is then driven either automatically or manually to match with the moving body in the consecutive image frames. This matching starts from key frames that contain key poses. A smooth motion is then interpolated in between key frames. And the evaluation of the generated motion is enhanced by image correlation. We provide various methods to make the matching feasible in order to reduce the modeling time. This approach is suitable for personal use to meet wide needs of human motion acquisition.
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تاریخ انتشار 2000