Study of a new vehicle detection algorithm based on linear CCD images

Abstract Traditional video detection algorithms are based on plane array CCD images that have complex background, so it is not beneficial for object segmentation and feature extraction. The background of linear CCD images is relatively single, and the frame rate of linear CCD is far above the frame rate of plane array CCD. Linear CCD can complete detection with high precision, especially for vehicle existence and vehicle speed. A new vehicle detection algorithm based on linear CCD images is proposed. It includes three parts. First, the image background updating and target extraction in the captured image is extracted with a wavelet transform algorithm. Then it proceeds to binary image for data of each line, and vehicle segmentation is performed line by line on this basis. The results of experiments prove that the algorithm is effective to reduce the effect brought by car light and shadow on vehicle segmentation and can work in real-time.

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