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- W4226394165 abstract "In order to realize the effective detection of moving objects in intelligent transportation environment, the proposed method of motion detection with higher accuracy and efficiency by combining the sequence frame difference and optical flow algorithm. Firstly, adaptive median filter and histogram equalization are used to preprocess video frames. Then, the preprocessed image is processed by pairwise sequence difference, and the sum of the difference results is calculated. Next, the optical flow method is used to process the differential video sequence to accurately detect and recognize the moving target. Finally, the proposed algorithm is compared with background difference method, optical flow method and inter frame difference method, and the detection effect and accuracy of moving objects in different scenes are analyzed. The experimental results show that the overall performance of the proposed algorithm is stable, the overall contour recognition of moving objects is high, the average true positive rate of moving objects detection is above 0.9." @default.
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- W4226394165 date "2022-01-01" @default.
- W4226394165 modified "2023-10-12" @default.
- W4226394165 title "Research on Road Traffic Moving Target Detection Method Based on Sequential Inter Frame Difference and Optical Flow Method" @default.
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- W4226394165 doi "https://doi.org/10.1007/978-981-16-9423-3_47" @default.
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