Translator Disclaimer
Paper
5 March 2014 Methods for vehicle detection and vehicle presence analysis for traffic applications
Author Affiliations +
Proceedings Volume 9026, Video Surveillance and Transportation Imaging Applications 2014; 90260R (2014) https://doi.org/10.1117/12.2036553
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
This paper presents our work towards robust vehicle detection in dynamic and static scenes from a brief historical perspective up to our current state-of-the-art. We cover several methods (PCA, basic HOG, texture analysis, 3D measurement) which have been developed for, tested, and used in real-world scenarios. The second part of this work presents a new HOG cascade training algorithm which is based on evolutionary optimization principles: HOG features for a low stage count cascade are learned using genetic feature selection methods. We show that with this approach it is possible to create a HOG cascade which has comparable performance to an AdaBoost trained cascade, but is much faster to evaluate.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oliver Sidla and Yuriy Lipetski "Methods for vehicle detection and vehicle presence analysis for traffic applications", Proc. SPIE 9026, Video Surveillance and Transportation Imaging Applications 2014, 90260R (5 March 2014); https://doi.org/10.1117/12.2036553
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
Back to Top