Deep People Counting with Faster R-CNN and Correlation Tracking-Reference-Cited by-同舟云学术

Deep People Counting with Faster R-CNN and Correlation Tracking

Published:2016-08-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Internet Multimedia Computing and Service
language:
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Author:

Li Zhiqiang¹,Zhang La²,Fang Yikai³,Wang Jinqiao²,Xu Huazhong⁴,Yin Baocai³,Lu Hanqing²

Affiliation:

1. School of Automation, Wuhan University of Technology, Wuhan, China and National Laboratory of Pattern Recognition, CASIA, Beijing, China

2. National Laboratory of Pattern Recognition, CASIA, Beijing, China

3. Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer, Science and Technology, Beijing University of Technology, Beijing, China

4. School of Automation, Wuhan University of Technology, Wuhan, China

Funder

863 Program

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3007669.3007745

Reference12 articles.

1. On detection of multiple object instances using hough transforms

2. Visual object tracking using adaptive correlation filters

3. Cumulative Attribute Space for Age and Crowd Density Estimation

4. Marked point processes for crowd counting

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