Embedded Vision Modules for Text Recognition and Fiducial Markers Tracking
| Autor: | Valerii Zozulia, Dmytro S. Sharapov, Maksim Shevchenko, Ievgen Gorovyi, Vitalii Vovk |
|---|---|
| Přispěvatelé: | It-Jim |
| Rok vydání: | 2018 |
| Předmět: |
text recognition
Machine vision Computer science business.industry Raspberry Pi Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Binary number Text recognition Text detection tracking Tracking (particle physics) computer vision Raspberry pi fiducial markers Computer vision Artificial intelligence business Fiducial marker |
| Zdroj: | 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP). |
| DOI: | 10.1109/dsmp.2018.8478640 |
| Popis: | In the paper, two examples of embedded vision m odules are described. Firstly, it is demonstrated how fiducial marker tracking algorithm can be adopted for operation on Raspberry Pi. Usage of proposed ideas allows to achieve around 60fps speed of binary marker tracking. Secondly, we describe the problem of text detection and recognition in outdoor environment. Experimental results indicate on acceptable results and good potential to provide low-cost and efficient embedded vision system for this purpose. Technical details of both embedded vision modules are comprehensively discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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