Title :
A Video-Based Real-Time Vehicle Counting System Using Adaptive Background Method
Author :
Lei, Manchun ; Lefloch, Damien ; Gouton, Pierre ; Madani, Kadder
Author_Institution :
Univ. of Burgundy, Dijon, France
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
This paper presents a video-based solution for real time vehicle detection and counting system, using a surveillance camera mounted on a relatively high place to acquire the traffic video stream.The two main methods applied in this system are: the adaptive background estimation and the Gaussian shadow elimination. The former allows a robust moving detection especially in complex scenes. The latter is based on color space HSV, which is able to deal with different size and intensity shadows. After these two operations, it obtains an image with moving vehicle extracted, and then operation counting is effected by a method called virtual detector.
Keywords :
cameras; image recognition; surveillance; video signal processing; Gaussian shadow elimination; adaptive background estimation; adaptive background method; color space HSV; real time vehicle counting system; real time vehicle detection; surveillance camera; traffic video stream; video-based real-time vehicle counting system; virtual detector; Adaptive systems; Infrared detectors; Layout; Lighting; Motion detection; Object detection; Radar detection; Real time systems; Robustness; Vehicle detection; Adaptive background estimation; Shadow elimination; Video analysis; Virtual detector;
Conference_Titel :
Signal Image Technology and Internet Based Systems, 2008. SITIS '08. IEEE International Conference on
Conference_Location :
Bali
Print_ISBN :
978-0-7695-3493-0
DOI :
10.1109/SITIS.2008.91