Presentation 2006-02-21
Detection of Person who Moves in Prohibited Direction by using Video Camera
Hiroyuki ARAI, Takayuki YASUNO, Midori MIZUKAMI, Miki HSEYAMA,
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Abstract(in English) We propose a method for detection of person who moves in prohibited direction, by using a general video camera which is set along under-diagonal viewing angle. In crowded situation, tracking every person is difficult, but computing optical-flow is rather stable than tracking, and the flow vector with opposite direction is a key to detect opposite moving. However, flow vectors from one person appear fragmentary. Therefore, to integrate such fragmented flow-vectors as one motion is a problem. To solve this, we use "x-t map" which records x-position and its moving direction versus time, which is made from x-projection of background difference image and x-projection of x-component of optical flow. Finding opposite moving in "x-t map" is done by Hough transformation. Experimental result shows its effectiveness.
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Keyword(in English) video surveillance / intrusion detection / opposite moving / optical flow / Hough transformation
Paper # ITS2005-84,IE2005-291
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Committee ITS
Conference Date 2006/2/14(1days)
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Paper Information
Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Detection of Person who Moves in Prohibited Direction by using Video Camera
Sub Title (in English)
Keyword(1) video surveillance
Keyword(2) intrusion detection
Keyword(3) opposite moving
Keyword(4) optical flow
Keyword(5) Hough transformation
1st Author's Name Hiroyuki ARAI
1st Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation()
2nd Author's Name Takayuki YASUNO
2nd Author's Affiliation NTT Cyber Space Laboratories, NTT Corporation
3rd Author's Name Midori MIZUKAMI
3rd Author's Affiliation Frontier Service Development Laboratory, Research and Development Center of JR East Group
4th Author's Name Miki HSEYAMA
4th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2006-02-21
Paper # ITS2005-84,IE2005-291
Volume (vol) vol.105
Number (no) 609
Page pp.pp.-
#Pages 6
Date of Issue