Fast crowd density estimation with convolutional neural networks-Reference-Cited by-同舟云学术

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Fast crowd density estimation with convolutional neural networks

Published:2015-08 Issue: Volume:43 Page:81-88
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Fu Min,Xu Pei,Li Xudong,Liu Qihe,Ye Mao,Zhu Ce

Funder

National Natural Science Foundation of China

973 National Basic Research Program of China

Fundamental Research Funds for the Central University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference16 articles.

1. Chen, Y., Han, C., Wang, C., Jeng, B., Fan, K., 2015. A cnn-based face detector with a simple feature map and a coarse-to-fine classifier. IEEE Trans. Pattern Anal. Mach. Intell., in press. http://dx.doi.org/10.1109/TPAMI.2007.70798.

2. Crowd monitoring using image processing;Davies;Electron. Commun. Eng. J.,1995

3. Ferryman, J., Ellis, A., 2010. PETS2010: dataset and challenge. In: 2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), IEEE, pp. 143–150.

4. Garcia, C., Delakis, M., 2002. A neural architecture for fast and robust face detection. In: Proceedings of the 16th International Conference on Pattern Recognition, IEEE, pp. 44–47.

5. Receptive fields, binocular interaction and functional architecture in the cat׳s visual cortex;Hubel;J. Physiol.,1962

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