Abstract
Object tracking algorithm via Spatial-temporal Context(STC) suffers from feature point deficiency, so this paper proposes an improved object tracking algorithm via STC based on Harris-Surf. Make use of the existing Weighted spatiotemporal context (WSTC) algorithm to improve. Firstly, it extracted image corners using Harris algorithm and detected image feature points using SURF algorithm, then it merged corner points and feature points and eliminated duplicate points to obtain a new feature point set. The two operations can obviously increase the number of feature points. Finally, we used RANSAC to elimina errors and achieve the accurate matching. Experiments show that the improved algorithm can obviously solve the collection and matching of feature points, and effectively improve the tracking effect.
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.
