conference paper · SICE Annual Conference (SICE) · 2008
Object tracking for a panning stereo vision system
Choong-Ho Lee, Seung-Hoon Yeom, Min-Jung Kang, Jin-Hwan Kim, Uk-Youl Huh
Cited by 0Abstract and details only
Abstract
The visual tracking for the moving object is presented in this paper. The position of the object in the real world coordinate could be obtained by the pixel distance in the stereo images. The position of the object in the camera coordinate is relative to the rotation angle of the stereo camera module so the position of the object is changed when the stereo camera module rotates. Therefore the rotating angle of the camera module can be derived from this change. Through the procedures, the visual tracking for the moving object is performed in this paper. With the determined target object position and the calculated camera module rotation angle, the experiment is performed and the results are shown in the experiment.
Cite this paper
Lee, C.-H., Yeom, S.-H., Kang, M.-J., Kim, J.-H., & Huh, U.-Y. (2008). Object tracking for a panning stereo vision system. SICE Annual Conference (SICE), 2332–2335. https://doi.org/10.1109/sice.2008.4655054
Lee, Choong-Ho, et al. “Object tracking for a panning stereo vision system.” SICE Annual Conference (SICE), 2008, pp. 2332–35, https://doi.org/10.1109/sice.2008.4655054.
Lee, Choong-Ho, Seung-Hoon Yeom, Min-Jung Kang, Jin-Hwan Kim, and Uk-Youl Huh. 2008. “Object tracking for a panning stereo vision system.” SICE Annual Conference (SICE): 2332–35. https://doi.org/10.1109/sice.2008.4655054.
Lee, C.-H. et al. (2008) ‘Object tracking for a panning stereo vision system’, SICE Annual Conference (SICE), pp. 2332–2335. Available at: https://doi.org/10.1109/sice.2008.4655054.
@article{lee2008object,
title = {{Object tracking for a panning stereo vision system}},
author = {Lee, Choong-Ho and Yeom, Seung-Hoon and Kang, Min-Jung and Kim, Jin-Hwan and Huh, Uk-Youl},
journal = {SICE Annual Conference (SICE)},
pages = {2332--2335},
year = {2008},
doi = {10.1109/sice.2008.4655054}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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