Template-based hand detection and tracking

Conference item

Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently. These model contours are used as shape templates to evaluate possible matches in the current frame. The evaluation is done within a hierarchical Bayesian filtering framework, where the posterior distribution is computed efficiently using a tree of templates. We demonstrate the effectiveness of the technique by using it for tracking 3D articulated and non-rigid hand motion from monocular video sequences in front of a cluttered background.

Authors: Cipolla, R; Stenger, B; Thayananthan, A; Torr, PHS

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Host title: Advanced Studies in Biometrics
• Pages: 114-125
• Series: Lecture Notes in Computer Science
• Series number: 3161
• Publication date: 2005-01-01
• Event title: Summer School on Biometrics 2003
• Event location: Alghero, Italy
• Event start date: 2003-06-02
• Event end date: 2003-06-06
• DOI: 10.1007/11493648_7
• ISSN: 1611-3349
• EISBN: 9783540286387
• ISBN: 9783540262046
• Language: English
• Keywords: SBTMR