Large scale crowd analysis based on convolutional neural network

Author:

Cao Lijun,Zhang Xu,Ren Weiqiang,Huang Kaiqi

Funder

National Basic Research Program of China

National Natural Science Foundation of China

National Key Technology R & D Program

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference27 articles.

1. Video-based crowd density estimation and prediction system for wide-area surveillance;Lijun;China Commun.,2013

2. D. Lan, P. Vasu, R. Visvanathan, Z. Imad, Fast crowd segmentation using shape indexing, in: Proceedings of ICCV, IEEE, Institute of Electrical and Electronics Engineers Inc., 2007, pp. 1–8.

3. V. Paul, J.J. Michael, S. Daniel, Detecting pedestrians using patterns of motion and appearance, in: Proceedings of ICCV, IEEE, Institute of Electrical and Electronics Engineers Inc., 2003, pp. 734–741.

4. W. Bo, N. Ram, Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors, in: Proceedings of ICCV, IEEE, Institute of Electrical and Electronics Engineers Inc., 2005, pp. 90–97.

5. Estimation of number of people in crowded scenes using perspective transformation;Shengfuu;IEEE Syst. Man Cybern. Part A: Syst. Hum.,2001

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