NDLI: Hands tracking with self-occlusion handling in cluttered environment

Content Provider	IEEE Xplore Digital Library
Author	Bor-Jeng Chen Cheng-Ming Huang An-Sheng Liu Ting-En Tseng Li-Chen Fu
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Bor-Jeng Chen; An-Sheng Liu; Ting-En Tseng) \|\| Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan (Cheng-Ming Huang) \|\| Dept. of Electr. Eng. & Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Li-Chen Fu)
Abstract	This paper presents a two-hands tracking method with a monocular camera for human machine interaction (HMI). To clarify the face of the user and his/her hands, the face is also tracked in our method. 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. While one target is being tracked in the independent situation, other targets are masked to decrease the skin color disturbances on the tracked one. Multiple cues, 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 targets are closing or even overlapping, the multiple importance sampling (MIS) particle filter generates the tracking hypotheses of the merged targets by the skin blob reasoning and the depth order estimation. These joint hypotheses are then evaluated by the visual cues of occluded face template, hand shape gradient orientation, motion continuity and forearm equation. The experimental results present the real-time efficiency and the robustness in comparison with the state-of-the-art human pose estimation method.
Starting Page	1
Ending Page	8
File Size	1562078
Page Count	8
File Format	PDF
ISBN	9781467357678
e-ISBN	9781467357692
DOI	10.1109/ASCC.2013.6606126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Image color analysis Shape Skin Face Joints
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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