Tracking of fast moving objects in real time
| Autor: | V. N. Kruglov, Artem Kruglov |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Machine vision business.industry Fast Fourier transform Image processing 02 engineering and technology Best value 01 natural sciences Computer Graphics and Computer-Aided Design 010309 optics Robustness (computer science) Phase correlation Control system 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Performance indicator Artificial intelligence business |
| Zdroj: | Pattern Recognition and Image Analysis. 26:582-586 |
| ISSN: | 1555-6212 1054-6618 |
| Popis: | In this paper the effectiveness of the methods for the determination of objects movement between frames in a video sequence was investigated applying to the task of roundwood parameters control. The phase correlation method shows the best value for the accuracy and performance under the given conditions. It was decided to update this method in order to improve the performance of developing machine vision system in the accuracy and reliability of tracking objects. The modified method of phase correlation was implemented using parallel processing OpenMP, which allowed to achieve the necessary performance indicators. The method was tested on the image database of real technological process of round timber movement on the conveyer belt and showed high efficiency and robustness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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