Abstract
The work is devoted to solving the problem of tracking objects with modern robotic systems. An algorithm for tracking objects based on the representation of images in the form of clouds of singular points using intuitionistic fuzzy sets is considered. The developed method takes into account the geometric structure of the tracked object. The truth of the found comparisons of the singular points of the images is evaluated by categories such as “not quite accurate”, “almost exactly”, “absolutely accurate”. The results of the experiments, as well as estimates of the stability and speed of the algorithm, demonstrate the high quality of the task of tracking objects in a video sequence.
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Acknowledgments
The reported study was funded by RFBR according to the research projects #19-07-00074, #20-01-00197
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Belyakov, S., Bozhenyuk, A., Morev, K., Rozenberg, I. (2020). Comparison of Key Points Clouds of Images Using Intuitionistic Fuzzy Sets. In: Silhavy, R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_30
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DOI: https://doi.org/10.1007/978-3-030-51971-1_30
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