Title :
A Vehicle Detection Method in Night Outdoor Scenes Based on Spatio-temporal Bricks
Author :
Su, Bailiang ; Li, Chuanzhen ; Wang, Jingling ; Wang, Hui ; Zhang, Qin
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
fDate :
May 30 2012-June 1 2012
Abstract :
A novel approach to detect vehicles in night outdoor scenes is proposed in this paper. By using online subspace learning, the preliminary foreground is obtained based on spatio-temporal bricks. Meanwhile, a new operator named 3DLBP is proposed to describe the local features of bricks. The final foreground is acquired by region-grow with 3DLBP and preliminary foreground. The results of experiment indicate that the proposed approach achieves higher performance in detecting vehicles in night outdoor scenes than common methods.
Keywords :
automated highways; learning (artificial intelligence); object detection; object tracking; traffic engineering computing; 3DLBP; intelligent transportation system; night outdoor scenes; online subspace learning; spatio-temporal bricks; vehicle detection method; vehicle tracking; Conferences; Educational institutions; Feature extraction; Lighting; Robustness; Vehicle detection; Vehicles; 3DLBP; region-grow; spatio-temporal bricks; subspace learning;
Conference_Titel :
Computer and Information Science (ICIS), 2012 IEEE/ACIS 11th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-1536-4
DOI :
10.1109/ICIS.2012.24
