Hand Gesture Tracking Method Based on Kalman Filter and Skin Color Feature

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Journal of Northeastern University ›› 2013, Vol. 34 ›› Issue (4): 474-477.DOI: -

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Hand Gesture Tracking Method Based on Kalman Filter and Skin Color Feature

TAN Wenjun¹， YANG Jinzhu¹， WANG Li²， ZHAO Dazhe¹

1. Key Laboratory of Medical Image Computing， Ministry of Education， Northeastern University， Shenyang 110819， China; 2. Shenyang Fire Research Institute， Ministry of Public Security， Shenyang 110034， China.

Received:2011-11-07 Revised:2011-11-07 Online:2013-04-15 Published:2013-06-19
Contact: TAN Wenjun
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Abstract

Abstract: The effective and robust hand gesture tracking is the premise of the dynamic hand gesture recognition. According to the characteristics of hand gesture movement， a hand gesture tracing method was presented on the basis of the Kalman filter and the skin color model. Firstly， the hand movement target was recognized with the background difference and the skin color model. At the same time， the movement parameters of Kalman filter were set by the parameters of spatial structure. Then， the tracking matching function based on the feature of spatial structure was calculated to correct the target predicted position， and the target region of dynamic hand gesture and its motion track were also got. The results showed that the proposed method was effective， accurate and robust to track hand gesture and was adapted to hand change， turning path and other situations.

Key words: hand gesture recognition, target tracking, Kalman filter, skin color model, dynamic hand gesture

CLC Number:

TP39141

TAN Wenjun， YANG Jinzhu， WANG Li， ZHAO Dazhe. Hand Gesture Tracking Method Based on Kalman Filter and Skin Color Feature[J]. Journal of Northeastern University, 2013, 34(4): 474-477.

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Hand Gesture Tracking Method Based on Kalman Filter and Skin Color Feature

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