article · Applied Mechanics and Materials · 2013
Object Tracking and Positioning Based on Stereo Vision
Zhong Wei Zhou, Min Gang Xu, Wei Ping Fu, Ji Zeng Zhao
Cited by 6Abstract and details only
Abstract
The goal of this paper is to present a method for object tracking and positioning based on stereo vision in real time. The method effectively combined stereo matching algorithm with object tracking algorithm, and calculated the spatial location information of the object by using binocular stereo vision while the object is being tracked. The stereo matching used dynamic programming, image pyramids and control points modification algorithm, and the object tracking mainly utilized CamShift algorithm in this paper. The experimental results have confirmed that the proposed method realized real-time tracking for moving object, accurate calculating for the object three-dimensional coordinates, which meet the applied needs of servo follow-up system.
Cite this paper
Zhou, Z. W., Xu, M. G., Fu, W. P., & Zhao, J. Z. (2013). Object Tracking and Positioning Based on Stereo Vision. Applied Mechanics and Materials, 303-306, 313–317. https://doi.org/10.4028/www.scientific.net/amm.303-306.313
Zhou, Zhong Wei, et al. “Object Tracking and Positioning Based on Stereo Vision.” Applied Mechanics and Materials, vol. 303-306, 2013, pp. 313–17, https://doi.org/10.4028/www.scientific.net/amm.303-306.313.
Zhou, Zhong Wei, Min Gang Xu, Wei Ping Fu, and Ji Zeng Zhao. 2013. “Object Tracking and Positioning Based on Stereo Vision.” Applied Mechanics and Materials 303-306: 313–17. https://doi.org/10.4028/www.scientific.net/amm.303-306.313.
Zhou, Z.W. et al. (2013) ‘Object Tracking and Positioning Based on Stereo Vision’, Applied Mechanics and Materials, 303-306, pp. 313–317. Available at: https://doi.org/10.4028/www.scientific.net/amm.303-306.313.
@article{zhou2013object,
title = {{Object Tracking and Positioning Based on Stereo Vision}},
author = {Zhou, Zhong Wei and Xu, Min Gang and Fu, Wei Ping and Zhao, Ji Zeng},
journal = {Applied Mechanics and Materials},
volume = {303-306},
pages = {313--317},
year = {2013},
doi = {10.4028/www.scientific.net/amm.303-306.313}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.