Human hand tracking from binocular image sequences

Kenichi Nirei, Hideo Saito, Masaaki Mochimaru, Shinji Ozawa

Research output: Contribution to conferencePaperpeer-review

15 Citations (Scopus)

Abstract

Sensing of human hand motion is very important for a variety of applications, such as CG animation and athletic performance measurement. Tracking a hand is difficult because the hand has high degree of freedom articulated mechanisms. This paper presents a 3-D model-based hand tracking method which is robust to occlusions and local minima. Tracking is performed minimizing estimation error of an optical flow and maximizing the overlap between a projected model and a silhouette image. We employ stochastic optimization to solve them, which are generally difficult. We present experimental results on tracking from synthetic and real image sequences.

Original languageEnglish
Pages297-302
Number of pages6
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 3 (of 3) - Taipei, Taiwan
Duration: 1996 Aug 51996 Aug 10

Other

OtherProceedings of the 1996 IEEE 22nd International Conference on Industrial Electronics, Control, and Instrumentation, IECON. Part 3 (of 3)
CityTaipei, Taiwan
Period96/8/596/8/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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