What is Vehicle Detection Rate and License Plate Recognition Accuracy

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• Indicates the vehicle detection rate, that is, the ratio of the number of vehicles identified by the camera to the total number of vehicles (excluding repeated counting caused by algorithms and false detection of non-motor vehicles). Vehicle detection rate reflects the camera installation quality and image quality.

• License plate recognition accuracy refers to the ratio of the number of vehicles whose license plate numbers are correctly identified to the number of vehicles whose license plate information is valid. The accuracy has a certain correlation with the detection rate. Generally, a higher detection rate indicates a higher recognition accuracy.

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Moving object detection is an important process in most video-based applications such as video surveillance, traffic monitoring, human
motion capture, etc. Background subtraction and color image segmentation methods are widely used for detecting moving objects in a
video stream that help detecting features of the moving object for further video processing. In this paper, moving object detection system
is proposed based on both background subtraction, color segmentation, license plate recognition methods. This method builds a back-
ground model and normally distributed each pixel in the image sequences and calculating the difference between each image in the sequence and this background model for foreground extraction and detecting movement areas from the background model and then the
background model is updated. Color segmentation is applied to separate features based on colors. The system detects vehicles enter parking gate and allow only a specific vehicle type depending on vehicle color and license plate. License plate recognition depending on vehicle type is implemented after color segmentation. Experimental results of implementing the proposed method using video sequences
provided by surveillance camera show superior performance and the system detects moving objects successfully