People-flow counting in complex environments by combining depth and color information-Reference-Cited by-同舟云学术

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People-flow counting in complex environments by combining depth and color information

Published:2016-02-20 Issue:15 Volume:75 Page:9315-9331
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Gao Chenqiang,Liu Jun,Feng Qi,Lv Jing

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Science and Technology Commission

Wenfeng innovation and start-up project of Chongqing University of Posts and Telecommunications

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-016-3344-z.pdf

Reference34 articles.

1. Benfold B, Reid I (2011) Stable multi-target tracking in real-time surveillance video. In: 2011 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 3457–3464

2. Cai Z, Yu ZL, Liu H, Zhang K (2014) Counting people in crowded scenes by video analyzing. In: 2014 IEEE 9th conference on industrial electronics and applications (ICIEA). IEEE, pp 1841– 1845

3. Chen TH, Chen TY, Chen ZX (2006) An intelligent people-flow counting method for passing through a gate. In: 2006 IEEE conference on robotics, automation and mechatronics. IEEE, pp 1–6

4. Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: IEEE computer society conference on computer vision and pattern recognition, CVPR 2005, vol 1. IEEE, pp 886– 893

5. Dan BK, Kim YS, Jung JY, Ko SJ, et al. (2012) Robust people counting system based on sensor fusion. In: IEEE transactions on consumer electronics, vol 58, pp 1013–1021

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