3D hand tracking using Kalman filter in depth space
نویسندگان
چکیده
منابع مشابه
3D hand tracking using Kalman filter in depth space
Hand gestures are an important type of natural language used in many research areas such as human-computer interaction and computer vision. Hand gestures recognition requires the prior determination of the hand position through detection and tracking. One of the most efficient strategies for hand tracking is to use 2D visual information such as color and shape. However, visual-sensor-based hand...
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Hand gestures are an important type of natural language used in many research areas such as humancomputer interaction and computer vision. Hand gestures recognition requires the prior determination of the hand position through detection and tracking. One of the most efficient strategies for hand tracking is to use 2D visual information such as color and shape. However, visualsensor-based hand t...
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The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...
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In this paper, we propose real-time hand tracking with a depth camera by using a Kalman Filter and an improved DAM-Shift(Depthbased adaptive mean shift) algorithm for occlusion handling. DAM-Shift is a useful algorithm for hand tracking, but difficult to track when occlusion occurs. To detect the hand region, we use a classifier that combines a boosting and a cascade structure. To verify occlus...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2012
ISSN: 1687-6180
DOI: 10.1186/1687-6180-2012-36