Image and Vision Computing
Computers should be able to detect and track the articulated 3D pose of a human being moving through a video sequence. Incremental tracking methods often prove slow and unreliable, and many must be initialized by a human operator before they can track a sequence. This paper describes a simple yet effective algorithm for tracking articulated pose, based upon looking up observations (such as body silhouettes) within a collection of known poses. The new algorithm runs quickly, can initialize itself without human intervention, and can automatically recover from critical tracking errors made while tracking previous frames in a video sequence.
Monocular tracking, Articulated tracking, Pose tracking, Silhouette lookup, Failure recovery
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© Nicholas Howe
Howe, Nicholas, "Silhouette Lookup for Monocular 3D Pose Tracking" (2007). Computer Science: Faculty Publications, Smith College, Northampton, MA.