title: A novel abandoned object detection system based on three-dimensional image information.
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.
authors: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. b20110370@xs.ustb.edu.cn.
authors: Yiliang
authors: Y
authors: Zeng
authors: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. ustblanjinhui@gmail.com.
authors: Jinhui
authors: J
authors: Lan
authors: School of Transportation, Southeast University, Nanjing 210096, Jiangsu Province, China. bran@seu.edu.cn.
authors: Bin
authors: B
authors: Ran
authors: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. s20121029@xs.ustb.edu.cn.
authors: Jing
authors: J
authors: Gao
authors: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. s20130935@xs.ustb.edu.cn.
authors: Jinlin
authors: J
authors: Zou