Journal
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume 56, Issue 2, Pages 510-515Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCE.2010.5505963
Keywords
pose recognition; object tracking; particle filter; integral histogram
Funding
- MKE under HNRC-ITRC [NIPA-2010-C1090-1011-0010]
- Seoul Future Contents Convergence (SFCC), Korea [10570]
- Ministry of Public Safety & Security (MPSS), Republic of Korea [C1090-1011-0010] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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To apply a vision technique to real-time user interface, we suggest a fast and effective method of tracking human limbs and recognizing poses, with the kinematics chain model. The proposed method is able to evaluate the observation likelihood between particle samples and reference histograms in high speed with the integral histogram. Results demonstrate that using the integral histogram is faster than the existing color histogram method as evidenced by the increase in the number and size of samples. In addition, robust results are realized during evaluation involving overlapping objects. The proposed user interface system is ideally suited for gaming devices that utilize user gestures and poses as control input in real-time. Experiments for the real-time game demonstrate the robustness of the proposed method(1).
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