Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040804.
Biao Chen1, Yuanyang Hong2, Kun Zhai3
1China University of Geosciences, Wuhan, 430074, China
2Beihang University, Beijing, 518000, China
3Harbin Engineering University, Harbin, 523808, China
With the rapid development of -IT and digital image processing technology, moving target tracking based on machine vision has always been a very active research topic in the fields of computer vision, robot and artificial intelligence, image processing and pattern recognition. As a research field with a wide application background, moving target tracking based on machine vision has attracted a large number of researchers. Many foreign research institutions also list it as an important research direction, and have achieved a lot of results. Artificial intelligence and other technologies have been widely used in various fields. At present, the moving target tracking algorithm based on filtering theory has attracted much attention. In this paper, a template matching method based on multi association is proposed for tracking. Experiments show that the separation accuracy of the algorithm is enhanced, the tracking effect is good, and can meet the real-time performance.
Machine vision; Real-time tracking; Image preprocessing
Biao Chen, Yuanyang Hong, Kun Zhai. Research on Real-time Tracking Algorithm of Moving Objects Based on Machine Vision. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 8: 19-22. https://doi.org/10.25236/AJCIS.2021.040804.
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