11 October 2000 Human motion estimation from a single view
Author Affiliations +
Proceedings Volume 4224, Biomedical Photonics and Optoelectronic Imaging; (2000) https://doi.org/10.1117/12.403950
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China
Human motion analysis is receiving increasing attention from biomedical image processing researchers. In order to reflect the human motion in reality, the body's structure is recovered using its 2D model. This paper proposes a practical system which tracks human motion automatically. The major processing units are as follows: 1) coarse matching between real image and 2D model, 2) fine matching between real image and 2D model, 3) the formation of body structure from 2D model sequence. We first segment a human body from stationary background. Then prior posture database is established, and the primary posture in image sequence can be estimated coarsely by comparing posture in database and real image series. After this, in the precise adjustment stage, precise matching can be obtained by the criterion of region overlay between image sequence and 2D model. Finally, structure of human body is recovered by adjusting parameters of 2D model series, in the above process, the sizes of the body parts are measured manually from one of the picture of real images. Finally, 2D model can be established, and skeleton or frame representation of human body movement is given. In the end of this paper, future directions are suggested for further improvement.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Sun, Yi Sun, Hongjie An, Hongjie An, Chengyi Cui, Chengyi Cui, } "Human motion estimation from a single view", Proc. SPIE 4224, Biomedical Photonics and Optoelectronic Imaging, (11 October 2000); doi: 10.1117/12.403950; https://doi.org/10.1117/12.403950


Evolving background recovery in lecture videos
Proceedings of SPIE (March 02 2014)
Recovery of 3D human posture from single view
Proceedings of SPIE (August 29 2002)
A real-time vision-based human motion capturing
Proceedings of SPIE (July 30 2006)

Back to Top