6533b825fe1ef96bd1283348
RESEARCH PRODUCT
A video-based real-time vehicle counting system using adaptive background method
Damien LeflochManchun LeiK. MadaniPierre Goutonsubject
Computer scienceGaussianComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyHSL and HSVColor spaceVideo analysisShadow eliminationAdaptive background estimationImage (mathematics)symbols.namesake0502 economics and businessShadow0202 electrical engineering electronic engineering information engineeringComputer visionSurveillance camera050210 logistics & transportationPixelbusiness.industry05 social sciencesDetectorVirtual detectorsymbols020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingdescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2008-11-30 |