Silhouette lookup for monocular 3D pose tracking

Computers should be able to detect and track the articulated 3-D 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. Key words: monocular tracking, articulated tracking, pose tracking, silhouette lookup, failure recovery

• Type: Journal
• Year: 2007
• Where: IVC
• Authors: Nicholas R. Howe
• Keywords: Articulated 3-D Pose, Incremental Tracking Methods, IVC 2007, Video Sequence