Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
906-909,931

Crowd density estimation using hybrid convolution structure in static images

Fan Lyuyuan
Tong Minglei
Li Min
Nan Hao
School of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0661

Abstract

This paper developed a hybrid convolution neural network for perceptual crowd counting, which could accurately predict density maps in extremely crowded scenes. It consisted of merely two components: the front-end was a dilated convolutional neural network to extract two-dimensional features; the back-end deployed a fractionally stride convolution to lower the loss of image information caused by down-sampling. This paper designed the model structure based on the dataset Shanghai Tech, then in an attempt to acknowledge and analyze the performance of the algorithm, and afterwards made use of the evaluation indicators of the regression problem, the average absolute error(MAE) and the mean-square error(MSE) as the criteria. Additionally, testing the method on Shanghai Tech(MAE=100.8), UCF_CC_50(MAE=305.3) and WorldExpo'10 datasets while the experiment results reveal that the proposed model can effectively reduce MAE and MSE when compared with previous methods.

Foundation Support

上海市自然科学基金资助项目(16ZR1413300)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0661
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Graphic & Image
Pages: 906-909,931
Serial Number: 1001-3695(2020)03-059-0906-04

Publish History

[2020-03-05] Printed Article

Cite This Article

范绿源, 仝明磊, 李敏, 等. 静态图像中采用混合卷积结构进行人群密度估计 [J]. 计算机应用研究, 2020, 37 (3): 906-909,931. (Fan Lyuyuan, Tong Minglei, Li Min, et al. Crowd density estimation using hybrid convolution structure in static images [J]. Application Research of Computers, 2020, 37 (3): 906-909,931. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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