Detection of Traffic and Road Condition Based on Adaboost

Abstract:

In order to avoid the drawbacks of physical detection methods, such as spoiling the road, having complex algorithms and affected by weather factors, the detection methods of traffic and road condition are explored using the Adaboost algorithm and its three variants based on PHOG (pyramid histogram of edge orientation gradients) image feature. Experimental results show that this method can effectively classify 4 types of traffic and road condition images, and Gentle Adaboost algorithm has the best performance for the noisy samples.

• Periodical: Applied Mechanics and Materials (Volumes 433-435)
• Pages: 1357-1360
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.433-435.1357
• Online since: October 2013
• Authors: Shi Jie Jia, Yu Ting Zhai, Xiao Wei Jia
• Keywords: Adaboost, PHOG, Traffic and Roadcondition Detect

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