<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose sequences in terms of gestures (i.e., "words"). The hand object is detected with a double-active contour-based method. A tracking of the hand pose in a short sequence allows detecting "modified poses", like diacritic letters in national alphabets. The static hand pose set corresponds to hand signs of a thumb alphabet. Finally, by tracking hand poses in a longer image sequence, the pose sequence is interpreted in terms of gestures. Dynamic Bayesian models and their inference methods (particle filter and Viterbi search) are applied at this stage, allowing a bi-driven control of the entire system.</p></abstract>

A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose sequences in terms of gestures (i.e., "words"). The hand object is detected with a double-active contour-based method. A tracking of the hand pose in a short sequence allows detecting "modified poses", like diacritic letters in national alphabets. The static hand pose set corresponds to hand signs of a thumb alphabet. Finally, by tracking hand poses in a longer image sequence, the pose sequence is interpreted in terms of gestures. Dynamic Bayesian models and their inference methods (particle filter and Viterbi search) are applied at this stage, allowing a bi-driven control of the entire system.

Hand gesture recognition based on free-form contours and probabilistic inference

Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland

Faculty of Geodesy and Cartography, Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, Poland

International Journal of Applied Mathematics and Computer Science

{"article-title":"Hand gesture recognition based on free-form contours and probabilistic inference"}

A computer vision system is described that captures color image sequences, detects and recognizes static hand poses (i.e., "letters") and interprets pose...

Hand gesture recognition based on free-form contours and probabilistic inference

Online veröffentlicht: 28. Juni 2012

Seitenbereich: 437 - 448

DOI: https://doi.org/10.2478/v10006-012-0033-6

Schlüsselwörter
active contours, hand pose detection, hand tracking, image sequence analysis, stochastic inference

This content is open access.

Hand gesture recognition based on free-form contours and probabilistic inference

Online veröffentlicht: 28. Juni 2012

Seitenbereich: 437 - 448

DOI: https://doi.org/10.2478/v10006-012-0033-6

Schlüsselwörteractive contours, hand pose detection, hand tracking, image sequence analysis, stochastic inference

This content is open access.

Schlüsselwörter
active contours, hand pose detection, hand tracking, image sequence analysis, stochastic inference