The Dynamic Model Embed in Augmented Graph Cuts for Robust Hand Tracking and Segmentation in Videos
Joint Authors
Wan, Jun
Ruan, Qiuqi
An, Gaoyun
Li, Wei
Liang, Yanyan
Zhao, Ruizhen
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-31
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Segmenting human hand is important in computer vision applications, for example, sign language interpretation, human computer interaction, and gesture recognition.
However, some serious bottlenecks still exist in hand localization systems such as fast hand motion capture, hand over face, and hand occlusions on which we focus in this paper.
We present a novel method for hand tracking and segmentation based on augmented graph cuts and dynamic model.
First, an effective dynamic model for state estimation is generated, which correctly predicts the location of hands probably having fast motion or shape deformations.
Second, new energy terms are brought into the energy function to develop augmented graph cuts based on some cues, namely, spatial information, hand motion, and chamfer distance.
The proposed method successfully achieves hand segmentation even though the hand passes over other skin-colored objects.
Some challenging videos are provided in the case of hand over face, hand occlusions, dynamic background, and fast motion.
Experimental results demonstrate that the proposed method is much more accurate than other graph cuts-based methods for hand tracking and segmentation.
American Psychological Association (APA)
Wan, Jun& Ruan, Qiuqi& An, Gaoyun& Li, Wei& Liang, Yanyan& Zhao, Ruizhen. 2014. The Dynamic Model Embed in Augmented Graph Cuts for Robust Hand Tracking and Segmentation in Videos. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044176
Modern Language Association (MLA)
Wan, Jun…[et al.]. The Dynamic Model Embed in Augmented Graph Cuts for Robust Hand Tracking and Segmentation in Videos. Mathematical Problems in Engineering No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1044176
American Medical Association (AMA)
Wan, Jun& Ruan, Qiuqi& An, Gaoyun& Li, Wei& Liang, Yanyan& Zhao, Ruizhen. The Dynamic Model Embed in Augmented Graph Cuts for Robust Hand Tracking and Segmentation in Videos. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1044176
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044176