Presentation 2013-10-03
A study on people density estimation using multiple cameras
Yoshimune TABUCHI, Tomokazu TAKAHASHI, Daisuke DEGUCHI, Ichiro IDE, Hiroshi MURASE, Takayuki KUROZUMI, Kunio KASHINO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Crowd analysis is focused on for public safety and marketing. Also, in recent years, it has become necessary to analyze a large volume of video data recording the activity of a crowd according to the widespread of surveillance cameras due to the increase of security awareness. Automatic analysis of such crowd videos is in demand because manual analysis takes time and effort. Among the crowd analysis, there is a demand for people density estimation. Therefore, we aim to estimate the density of people in a situation where many people exist, using multiple cameras to deal with occlusion. In this report, we study a method which estimates the people density by counting people based on regression in small areas. In an experiment, we examined the accuracy of the proposed people density estimation method.
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Keyword(in English) People density estimation / crowd analysis / multiple cameras
Paper # PRMU2013-56
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Conference Information
Committee PRMU
Conference Date 2013/9/26(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on people density estimation using multiple cameras
Sub Title (in English)
Keyword(1) People density estimation
Keyword(2) crowd analysis
Keyword(3) multiple cameras
1st Author's Name Yoshimune TABUCHI
1st Author's Affiliation Nagoya University()
2nd Author's Name Tomokazu TAKAHASHI
2nd Author's Affiliation Nagoya University
3rd Author's Name Daisuke DEGUCHI
3rd Author's Affiliation Nagoya University
4th Author's Name Ichiro IDE
4th Author's Affiliation Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Nagoya University
6th Author's Name Takayuki KUROZUMI
6th Author's Affiliation NTT Communication Science Laboratories, Nippon Telegraph and Technology Corporation
7th Author's Name Kunio KASHINO
7th Author's Affiliation NTT Communication Science Laboratories, Nippon Telegraph and Technology Corporation
Date 2013-10-03
Paper # PRMU2013-56
Volume (vol) vol.113
Number (no) 230
Page pp.pp.-
#Pages 6
Date of Issue