Human Upper Body Pose Estimation in Static
نویسنده
چکیده
Imagery data is an important component of multimedia content and appears commonly in the Internet domain, TV programs and movies. Analysis and interpretation of imagery data is therefore an important research area in IMSC. The project focuses on the human body, which is the most interesting object, and aims to develop techniques for estimating the body pose automatically. Potential applications include image understanding, categorization and retrieval. This research also addresses some of the problems in the modeling and learning of human body, including the pose, shape and clothing. The project is currently focusing on the upper body pose.
منابع مشابه
Human Upper Body Pose Estimation in Static Images
Estimating human pose in static images is challenging due to the high dimensional state space, presence of image clutter and ambiguities of image observations. We present an MCMC framework for estimating 3D human upper body pose. A generative model, comprising of the human articulated structure, shape and clothing models, is used to formulate likelihood measures for evaluating solution candidat...
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تاریخ انتشار 2004