| Paper Details: | Downloads: 441 |
| Serial Number: | P1150511003
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| Title: | Video Image-based Intelligent Architecture for Human Motion Capture
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| Authors: | Lei Jun and Dieter Hogrefe and Tan jianrong
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| Abstract: | The study of human motion is a fascinating subject in computer vision and has been developed quite a few years. Traditional methods to realize human motion capture mainly use equipments of machinery, electromagnetic, acoustics, optics, graphics and so on. Whereas these are some defects existed in these methods e.g. expensive equipments, the place limited by sensors and localization of sport range, and it has no consistent standards because of different purposes and requirements. Most importantly, they always need a person to execute the long and sterile work for surveillance. Sometimes only by manual operation cannot accord with desires that data should be collected without redundant or unhelpful information. In view of video characters which bring about changes and new opportunities in the human motion capturing technology, this paper presents an actual architecture to automatically capture human motion by comparing video images and extracting surveillant area. Then we provide an effective method for storage. Furthermore, the functionalities of architecture are realized in GOLF sport education example.
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| Keywords: | motion capture, video image, surveillant area, storage, video stream
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 5
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| Issue: | 5
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| Submission Date: | 1/1/2005 12:00:00 AM
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| Review Date: | 3/1/2005 12:00:00 AM
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| Publishing Date: | 5/1/2005 12:00:00 AM
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| Article Downloads: | 441
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