NDLI: Robust head and hands tracking with occlusion handling for human machine interaction

Content Provider	IEEE Xplore Digital Library
Author	Bor-Jeng Chen Cheng-Ming Huang Ting-En Tseng Li-Chen Fu
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering and Computer Science and Information Engineering, National Taiwan University, Taiwan, ROC (Li-Chen Fu) \|\| Department of Electrical Engineering, National Taipei University of Technology, Taiwan, ROC (Cheng-Ming Huang) \|\| Department of Electrical Engineering, National Taiwan University, Taiwan, ROC (Bor-Jeng Chen; Ting-En Tseng)
Abstract	This paper presents a head and hands tracking method with a monocular camera for human machine interaction (HMI). The targets are tracked independently when they are far from each other, however, they are merged with dependent likelihood measurements in higher dimension while they are likely to interrupt each other. When tracking one target in the independent situation, other targets are masked to decrease the disturbances of skin color on the tracked one. Multiple clues, including the combination of the locally discriminative color weighted image and the back-projection image of the reference color model, the motion history image and the gradient orientation feature, are employed to verify the hypotheses originated from the particle filter. On the other hand, when the head and hands are closing or even overlapping, the multiple importance sampling (MIS) particle filter generates the tracking hypotheses of merged targets by the skin blob mask and the depth order estimation. These merged hypotheses are then evaluated by the visual cues of occluded face template, hand shape orientation and motion continuity. The experimental results present the real-time efficiency and the robustness in comparison with the OpenNI tracker which has been released recently for the Kinect sensor.
Starting Page	2141
Ending Page	2146
File Size	2722346
Page Count	6
File Format	PDF
ISBN	9781467317375
ISSN	21530858
e-ISBN	9781467317368
DOI	10.1109/IROS.2012.6386113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-07
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Target tracking Face Shape Skin
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Computer Science Applications Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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