RGBD Video Based Human Hand Trajectory Tracking and Gesture Recognition System
Joint Authors
Liu, Weihua
Fan, Yangyu
Li, Zuhe
Zhang, Zhong
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-02-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The task of human hand trajectory tracking and gesture trajectory recognition based on synchronized color and depth video is considered.
Toward this end, in the facet of hand tracking, a joint observation model with the hand cues of skin saliency, motion and depth is integrated into particle filter in order to move particles to local peak in the likelihood.
The proposed hand tracking method, namely, salient skin, motion, and depth based particle filter (SSMD-PF), is capable of improving the tracking accuracy considerably, in the context of the signer performing the gesture toward the camera device and in front of moving, cluttered backgrounds.
In the facet of gesture recognition, a shape-order context descriptor on the basis of shape context is introduced, which can describe the gesture in spatiotemporal domain.
The efficient shape-order context descriptor can reveal the shape relationship and embed gesture sequence order information into descriptor.
Moreover, the shape-order context leads to a robust score for gesture invariant.
Our approach is complemented with experimental results on the settings of the challenging hand-signed digits datasets and American sign language dataset, which corroborate the performance of the novel techniques.
American Psychological Association (APA)
Liu, Weihua& Fan, Yangyu& Li, Zuhe& Zhang, Zhong. 2015. RGBD Video Based Human Hand Trajectory Tracking and Gesture Recognition System. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074925
Modern Language Association (MLA)
Liu, Weihua…[et al.]. RGBD Video Based Human Hand Trajectory Tracking and Gesture Recognition System. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1074925
American Medical Association (AMA)
Liu, Weihua& Fan, Yangyu& Li, Zuhe& Zhang, Zhong. RGBD Video Based Human Hand Trajectory Tracking and Gesture Recognition System. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1074925
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074925