Abstract
We propose a method for wide-range tracking of hands in real-time by a vision sensor. By using random sampling and importance sampling, our method can track hands and estimate hand positions in real-time. We use an omnidirectional vision sensor in order to cover the wide range of hand operations. The camera is mounted on the head, which enables the system to be tolerant of the occlusion problem.
Cite
CITATION STYLE
Iwai, Y., Mashita, T., & Yachida, M. (2002). Wide-range tracking of hands in real-time. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2492, pp. 131–141). Springer Verlag. https://doi.org/10.1007/3-540-36138-3_11
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