F-Hessian SIFT-Based Railroad Level-Crossing Vision System
Hyung-Sup Lim, Hak-Sun Yoon, Chel-Huan Kim, Deung-Ryeol Ryu, Hwang Cho, Key-Seo Lee · The Journal of the Korea institute of electronic communication sciences · 2010
This paper presents the experimental analysis of a F-Hessian SIFT-Based Railroad Level-Crossing Safety Vision System. Region of surveillance, region of interests, data matching based on extracting feature points has been examined under the laboratory condition by the model rig on a small scale. Real-time system were observed by using SIFT based on F-Hessian feature tracking method and other common algorithm.