Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Academic Journal of Computing & Information Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.