Occlusion-Robust Human Tracking with Integrated Multi-View Depth Imagery-Reference-Cited by-同舟云学术

Occlusion-Robust Human Tracking with Integrated Multi-View Depth Imagery

Published:2014 Issue:12 Volume:E97.D Page:3181-3191
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

FUKUSHI Kenichiro¹,KUMAZAWA Itsuo²

Affiliation:

1. Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology

2. Imaging Science and Engineering Laboratory, Tokyo Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/12/E97.D_2014EDP7081/_pdf

Reference27 articles.

1. [1] D. Beymer, “Person counting using stereo,” Proc. Workshop on Human Motion, pp.127-133, Austin, Texas, USA, IEEE, Dec. 2000.

2. [2] T. Darrell, D. Demirdjian, N. Checka, and P. Felzenszwalb, “Plan-view trajectory estimation with dense stereo background models,” Proc. 8th IEEE Int. Conf. on Computer Vision, pp.628-635, Vancouver, British Columbia, Canada, July 2001.

3. [3] A. Yilmaz, O. Javed, and M. Shah, “Object tracking: A survey,” ACM Comput. Surv., vol.38, no.4, p.13, 2006.

4. [4] D.G. Lowe, “Distinctive image features from scale-invariant keypoints,” Int. J. Comput. Vis., vol.60, no.2, pp.91-110, 2004.

5. [5] N. Dalal, “Histograms of oriented gradients for human detection,” Proc. Conf. on Computer Vision and Pattern Recognit., pp.886-893, San Diego, CA, USA, June 2005.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-State Self-Learning Template Library Updating Approach for Multi-Camera Human Tracking in Complex Scenes;International Journal of Pattern Recognition and Artificial Intelligence;2017-09-17