A framework of reading timestamps for surveillance video
This paper presents a framework to automatically read timestamps for surveillance video. Reading timestamps from surveillance video is difficult due to the challenges such as color variety, font diversity, noise, and low resolution. The proposed algorithm overcomes these challenges by using the deep...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2019-02-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | http://computeroptics.ru/KO/PDF/KO43-1/430108.pdf |