Abandoned Object Detection Based on Three-Dimensional Image Information for Road Surveillance
The paper outlines a new idea of abandoned object detection based on three-dimensional image information to prevent traffic accidents for traffic surveillance systems. It is proposed a new BIRR (Binocular Information Reconstruction and Recognition) algorithm to implement the new idea. As initial detection, suspected-abandoned objects are detected by proposed dual-background difference algorithm based on surveillance video from monocular camera. After detection of suspected-abandoned object, 3D (three-dimensional) information of suspected-abandoned object is reconstructed by proposed theory about 3D object information reconstruction with images from binocular camera. To determine whether the detected object is hazardous to normal road traffic, road plane equation and height of suspected-abandoned object are calculated based on three-dimensional information. Experiments results show that the algorithm implements real time detection of abandoned objects and has detection accuracy of 93%. This algorithm can be used for road traffic monitoring and public area surveillance.
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Supplemental Notes:
- This paper was sponsored by TRB committee ABJ50 Information Systems and Technology.
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Corporate Authors:
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Authors:
- Lan, Jinhui
- Guo, Min
- Ran, Bin
- Sun, Xinrong
- Aibibu, Tuerniyazi
- Liu, Min
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Conference:
- Transportation Research Board 93rd Annual Meeting
- Location: Washington DC
- Date: 2014-1-12 to 2014-1-16
- Date: 2014
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 18p
- Monograph Title: TRB 93rd Annual Meeting Compendium of Papers
Subject/Index Terms
- TRT Terms: Algorithms; Detection and identification systems; Surveillance; Traffic crashes; Video cameras
- Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01520141
- Record Type: Publication
- Report/Paper Numbers: 14-0447
- Files: TRIS, TRB, ATRI
- Created Date: Mar 26 2014 10:13AM