An algorithm for front-vehicle detection based on Haar-like feature

作者：Xu Qing^*; Gao Feng; Xu Guoyan

来源：Qiche Gongcheng/automotive Engineering, 2013, 35(4): 381-384.

• Cascade classifiers
• Complex background
• Duplicate detection
• Haar-like features
• Intelligent transportation systems
• ITS
• Resolution ratios
• Vehicle detection

Based on the requirements of intelligent transportation system (ITS), an algorithm for front-vehicle detection is proposed in this paper. With the algorithm, firstly a Haar-like feature cascade classifier is designed by using feature detection method to effectively identify the rear features of front vehicles. Then aiming at the problems of duplicate detection, noises, undections and the failure in detecting distant objects due to the limitation in resolution ratio, which occurred in real detections with complicated road conditions, the algorithm is revised. Finally the experiments and analyses are performed again with a result showing that the revised algorithm can effectively detect the front vehicles realtime in complex background by using on-board video camera, being easy to apply to ITS.

• 出版日期2013