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This paper presents a robust and efficient method for license plate detection with the purpose of accurately localizing vehicle license plates from complex scenes in real time. A simple yet effective image downscaling method is first proposed to substantially accelerate license plate localization without sacrificing detection performance compared with that(More)
This paper presents an improved method for removing cast shadows from multiple objects in a static background using gradient amendment. Shadow can decrease object detection rate and increase the likelihood of tracking failure, which are the two most important measure of algorithm in intelligent video system. The drawback of existed shadow detection methods(More)
Background modeling plays a key role of event detection in intelligent surveillance systems. Gaussian Mixture Model (GMM) is a popular background modeling method in latest surveillance systems. However, the model will result in object fragmentation if the objects' color is likely to its background. In our paper, we present a different mechanism which(More)
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