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Sensors 2015, 15(3), 6885-6904; doi:10.3390/s150306885

A Novel Abandoned Object Detection System Based on Three-Dimensional Image Information

1
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2
School of Transportation, Southeast University, Nanjing 210096, Jiangsu Province, China
*
Author to whom correspondence should be addressed.
Academic Editor: Gonzalo Pajares Martinsanz
Received: 25 November 2014 / Revised: 11 March 2015 / Accepted: 12 March 2015 / Published: 23 March 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [2439 KB, uploaded 23 March 2015]   |  

Abstract

A new idea of an abandoned object detection system for road traffic surveillance systems based on three-dimensional image information is proposed in this paper to prevent traffic accidents. A novel Binocular Information Reconstruction and Recognition (BIRR) algorithm is presented to implement the new idea. As initial detection, suspected abandoned objects are detected by the proposed static foreground region segmentation algorithm based on surveillance video from a monocular camera. After detection of suspected abandoned objects, three-dimensional (3D) information of the suspected abandoned object is reconstructed by the proposed theory about 3D object information reconstruction with images from a 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 the three-dimensional information. Experimental results show that this system implements fast detection of abandoned objects and this abandoned object system can be used for road traffic monitoring and public area surveillance. View Full-Text
Keywords: abandoned object detection; dual-background difference; three-dimensional information reconstruction; Road Traffic Surveillance abandoned object detection; dual-background difference; three-dimensional information reconstruction; Road Traffic Surveillance
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zeng, Y.; Lan, J.; Ran, B.; Gao, J.; Zou, J. A Novel Abandoned Object Detection System Based on Three-Dimensional Image Information. Sensors 2015, 15, 6885-6904.

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