Abstract
This paper introduces a new detection method of objects in micro-scale based on dynamic region of interest (ROI) method combined with pyramid template matching (PTM) approach. The dynamic ROI method works based on the position predicting, which is provided by the Kalman filter (KF). Rather than searching the entire image, the detection ROI is located at a limited region. Experimental results show that the detected positions match well with the real motion path. Moreover, the dynamic ROI method reduces the computation time by 30% as compared with the PTM algorithm.
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.