A New and High-Accuracy People Counting Algorithm

Tao Hu; Hao Jia Luo; Ting Wang; Li Zhu

doi:10.4028/www.scientific.net/AMM.55-57.132

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57A New and High-Accuracy People Counting Algorithm

A New and High-Accuracy People Counting Algorithm

Abstract:

The people counting algorithms are widely applied in many areas. The algorithms may have lower counting accuracy or higher time complexity. To improve that, a new and high-accuracy people counting algorithm is proposed in this paper. It analyzes a background image and series population original images to calculate an average proportion for one person and create a two-dimensional table. Then it uses the average proportion and the two-dimensional table to count the number of people in test images. And two thresholds are adopted to regulate accuracy in counting.

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Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

132-137

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.132

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Online since:

May 2011

Authors:

Tao Hu, Hao Jia Luo, Ting Wang, Li Zhu

Keywords:

Average Proportion, People Counting, Two-Dimensional Table

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References

[1] Velipasalar S, etc.: Automatic Counting of Interacting People by Using a Single un-calibrated Camera, 2006 IEEE International Conference on Multimedia and Expo, 2006, P. 1265.

DOI: 10.1109/icme.2006.262768

Google Scholar

[2] Ryan, David and Denman, etc.: Crowd Counting Using Group Tracking and Local Features, 7th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2010), 29 August - 1 September 2010, Boston, P. 218.

DOI: 10.1109/avss.2010.30

Google Scholar

[3] Davies, A.C., Jia Hong Yin, Velastin, S.A.: Crowd Monitoring Using Image Processing, IEE Electronics & Communication Engineering Journal, Volume 7, Issue 1(1995), P. 37.

DOI: 10.1049/ecej:19950106

Google Scholar

[4] Damien LEFLOCH: Real-Time People Counting System Using Video Camera, (2007).

Google Scholar

[5] Thiago Teixeira, Andreas Savvides: Lightweight People Counting and Localizing in Indoor Spaces Using Camera Sensor Nodes, Distributed Smart Cameras, 2007, P. 36.

DOI: 10.1109/icdsc.2007.4357503

Google Scholar

[6] Jorge P. Batista: Tracking Pedestrians under Occlusion using Multiple Cameras, Image Analysis and Recognition, 2004, Volume 32, 2004, P. 552.

DOI: 10.1007/978-3-540-30126-4_68

Google Scholar