Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866912180256899072 |
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| author | Ribeiro, Victor Nascimento Hirata, Nina S. T. |
| author_facet | Ribeiro, Victor Nascimento Hirata, Nina S. T. |
| contents | Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide availability of low-cost surveillance cameras and advances in Deep Learning. Typically, video-based ALPR systems rely on multiple frames to detect the vehicle and recognize the license plates. Therefore, we propose a system capable of extracting exactly one frame per vehicle and recognizing its license plate characters from this singular image using an Optical Character Recognition (OCR) model. Early experiments show that this methodology is viable. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_02270 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Video-Based ALPR System Using YOLO and Visual Rhythm Ribeiro, Victor Nascimento Hirata, Nina S. T. Computer Vision and Pattern Recognition Machine Learning Image and Video Processing Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide availability of low-cost surveillance cameras and advances in Deep Learning. Typically, video-based ALPR systems rely on multiple frames to detect the vehicle and recognize the license plates. Therefore, we propose a system capable of extracting exactly one frame per vehicle and recognizing its license plate characters from this singular image using an Optical Character Recognition (OCR) model. Early experiments show that this methodology is viable. |
| title | Efficient Video-Based ALPR System Using YOLO and Visual Rhythm |
| topic | Computer Vision and Pattern Recognition Machine Learning Image and Video Processing |
| url | https://arxiv.org/abs/2501.02270 |