Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

conference paper · World Congress on Intelligent Control and Automation · 2014

Robust object tracking based on RGB-D camera

Wenjing Qi, Yinfei Yang, Meng Yi, Yunfeng Li, Zygmunt Pizlo, Longin Jan Latecki

Cited by 0Abstract and details only

Abstract

A novel object tracking method based on RGB-D camera is proposed to handle fast appearance change, occlusion, background clutter which may arise for vision-based robot navigation. It makes use of appearance and depth information that are complementary to each other in visual perception to get robust tracking. First, RGB image and depth information are captured by the RGB-D camera. Then, an online updating appearance model is created with features extracted from RGB image. A motion model is created on plan-view map that is drawn from depth information and camera parameters. The estimation of object position and scale is performed on the motion model. Finally, appearance features are combined with position and scale information to track the target. The performance of our method is compared with a state-of-art video tracking method. It shows that our tracking method is more stable and accurate, and has overwhelming superiority when there is a great appearance change. A vision-based robot using our tracking method can navigate in cluttered environment successfully.

Cite this paper

APA 7

Qi, W., Yang, Y., Yi, M., Li, Y., Pizlo, Z., & Latecki, L. J. (2014). Robust object tracking based on RGB-D camera. World Congress on Intelligent Control and Automation, 38, 2873–2878. https://doi.org/10.1109/wcica.2014.7053184

MLA 9

Qi, Wenjing, et al. “Robust object tracking based on RGB-D camera.” World Congress on Intelligent Control and Automation, vol. 38, 2014, pp. 2873–78, https://doi.org/10.1109/wcica.2014.7053184.

Chicago

Qi, Wenjing, Yinfei Yang, Meng Yi, Yunfeng Li, Zygmunt Pizlo, and Longin Jan Latecki. 2014. “Robust object tracking based on RGB-D camera.” World Congress on Intelligent Control and Automation 38: 2873–78. https://doi.org/10.1109/wcica.2014.7053184.

Harvard

Qi, W. et al. (2014) ‘Robust object tracking based on RGB-D camera’, World Congress on Intelligent Control and Automation, 38, pp. 2873–2878. Available at: https://doi.org/10.1109/wcica.2014.7053184.

BibTeX
@article{qi2014robust,
  title = {{Robust object tracking based on RGB-D camera}},
  author = {Qi, Wenjing and Yang, Yinfei and Yi, Meng and Li, Yunfeng and Pizlo, Zygmunt and Latecki, Longin Jan},
  journal = {World Congress on Intelligent Control and Automation},
  volume = {38},
  pages = {2873--2878},
  year = {2014},
  doi = {10.1109/wcica.2014.7053184}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers