Abstract
To track human in a camera network, only the dynamical probability inference is not adequate. In this paper, we propose modified local Speed Up Robust Feature (SURF) to relay track the target person in a camera networks. By adding more interest points and combining local color cue, the computation time of local detecting and matching are greatly saved. Through the experiment results, we see the potential of using the SURF among the camera networks. (5 pages)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
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.