Title :
Research on vehicle object detection in traffic video stream
Author :
Zhang, Xing-Qiang
Author_Institution :
Inf. Coll., Linyi Normal Univ., Linyi, China
Abstract :
A vision based method of vehicle detection was proposed. Firstly, a improved common region algorithm to realize the background subtraction which having a better robustness and easy to determine the background image real timely. Then a threshold segmentation method is used in object extraction stage. Compared with the existing algorithm, such an iterative algorithm based on weighted average of thresholds achieved improved accuracy on background image and increased the stability of the object extraction.
Keywords :
feature extraction; image segmentation; iterative methods; object detection; traffic engineering computing; vehicles; video streaming; background image; common region algorithm; iterative algorithm; object extraction; object extraction stage; threshold segmentation method; traffic video stream; vision based vehicle object detection; Data mining; Image analysis; Intelligent transportation systems; Iterative algorithms; Monitoring; Object detection; Roads; Streaming media; Vehicle detection; Vehicles; background subtraction; object extraction; threshold iterative algorithm; vehicle detection;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
DOI :
10.1109/ICIEA.2010.5515437
