article · International Journal of Embedded Systems · 2017

Multi-person detecting and tracking based on RGB-D sensor for a robot vision system

Cited by 5Abstract and details only

Abstract

In this paper, we address the problem of automatically detecting and tracking a variable number of objects in complex scenes using a RGB-D sensor on the robot system. We propose a novel approach for multi-object detecting by fusing RGB information and depth information. Meanwhile, this paper presents a robust multi-cue approach for multi-object tracking. A spatiotemporal object representation is proposed, which combines a generative colour model and a discriminative texture classifier. We employ a Bayesian framework based on particle filtering to achieve integrated object detection and tracking from a robot vision system. The experimental results show that the proposed method yields good tracking performance in real world environment.

Cite this paper

APA 7

Jiang, M., 王渡生, & Qiu, T. (2017). Multi-person detecting and tracking based on RGB-D sensor for a robot vision system. International Journal of Embedded Systems, 9(1), 54. https://doi.org/10.1504/ijes.2017.081728

MLA 9

Jiang, Mingxin, et al. “Multi-person detecting and tracking based on RGB-D sensor for a robot vision system.” International Journal of Embedded Systems, vol. 9, no. 1, 2017, p. 54, https://doi.org/10.1504/ijes.2017.081728.

Chicago

Jiang, Mingxin, 王渡生, and Tianshuang Qiu. 2017. “Multi-person detecting and tracking based on RGB-D sensor for a robot vision system.” International Journal of Embedded Systems 9 (1): 54. https://doi.org/10.1504/ijes.2017.081728.

Harvard

Jiang, M., 王渡生 and Qiu, T. (2017) ‘Multi-person detecting and tracking based on RGB-D sensor for a robot vision system’, International Journal of Embedded Systems, 9(1), p. 54. Available at: https://doi.org/10.1504/ijes.2017.081728.

BibTeX

@article{jiang2017multi,
  title = {{Multi-person detecting and tracking based on RGB-D sensor for a robot vision system}},
  author = {Jiang, Mingxin and 王渡生 and Qiu, Tianshuang},
  journal = {International Journal of Embedded Systems},
  volume = {9},
  number = {1},
  pages = {54},
  year = {2017},
  doi = {10.1504/ijes.2017.081728}
}

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