NDLI: Tracking human walking in dynamic scenes

Content Provider	IEEE Xplore Digital Library
Author	Jia-Ching Cheng Moura, J.M.F.
Copyright Year	1997
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Jia-Ching Cheng)
Abstract	Extracting from a video sequence a representation for humans in motion has numerous applications. This task is difficult due to the complex nature of the human body which is non-rigid and capable of performing a wide variety of actions. We propose a model-based approach to tracking human walking in dynamic scenes. We model the human body as an articulated object connected by joints and rigid parts, and describe the human walking process as a periodic motion. The posture of the walker is determined by a recognition scheme that estimates the period and phase of walking. This result is then used to establish dynamic constraints for the human posture. These constraints along with kinematic constraints that govern the linkage of the articulated human body are then adopted to facilitate the tracking of the body parts of the human. The paper illustrates the results of testing our algorithm with real video.
Starting Page	137
Ending Page	140
File Size	513336
Page Count	4
File Format	PDF
ISBN	0818681837
DOI	10.1109/ICIP.1997.647403
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Legged locomotion Layout Biological system modeling Video sequences Joints Phase estimation Kinematics Couplings Testing
Content Type	Text
Resource Type	Article

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