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- W2073152945 abstract "License plate recognition (LPR) system is to help alert relevant personnel of any passing vehicle in the surveillance area.In order to test algorithms for license plate recognition, it is necessary to have input frames in which the ground truth isdetermined. The purpose of ground truth data is here to provide an absolute reference for performance evaluation ortraining purposes. However, annotating ground truth data for real-life inputs is very disturbing task because of timeconsumingmanual. In this paper, we proposed a method of semi-automatic ground truth generation for license platerecognition in video sequences. The method started from region of interesting detection to rapidly extract characters linesfollowed by a license plate recognition system to verify the license plate regions and recognized the numbers. On the topof the LPR system, we incorporated a tracking-validation mechanism to detect the time interval of passing vehicles ininput sequences. The tracking mechanism is initialized by a single license plate region in one frame. Moreover, in orderto tolerate the variation of the license plate appearances in the input sequences, the validator would be updated bycapturing positive and negatives samples during tracking. Experimental results show that the proposed method canachieve promising results." @default.
- W2073152945 created "2016-06-24" @default.
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- W2073152945 date "2011-09-08" @default.
- W2073152945 modified "2023-09-23" @default.
- W2073152945 title "Semi-automatic ground truth generation for license plate recognition system" @default.
- W2073152945 doi "https://doi.org/10.1117/12.899125" @default.
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