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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 5046727, 11 pages
https://doi.org/10.1155/2017/5046727
Research Article

Low-Rank and Sparse Based Deep-Fusion Convolutional Neural Network for Crowd Counting

PLA University of Science and Technology, Nanjing, Jiangsu, China

Correspondence should be addressed to Zhisong Pan; moc.liamtoh@szptoh

Received 14 March 2017; Revised 10 July 2017; Accepted 25 July 2017; Published 25 September 2017

Academic Editor: Suzanne M. Shontz

Copyright © 2017 Siqi Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Siqi Tang, Zhisong Pan, and Xingyu Zhou, “Low-Rank and Sparse Based Deep-Fusion Convolutional Neural Network for Crowd Counting,” Mathematical Problems in Engineering, vol. 2017, Article ID 5046727, 11 pages, 2017. doi:10.1155/2017/5046727