Abstract
The key content of video image processing and analysis is the detection and tracking of moving objects, and it is also the focus and important research field of computer vision. It has important applications in unmanned operation, defense industry, human-computer interaction, image processing and other fields. In this paper, under the development environment of Spyder and Opencv, the autonomous adaptability of Camshift tracking algorithm is combined with kalman filter algorithm, so the moving target detection and tracking in video monitoring is realized by using python language.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
