TY - JFULL AU - Sungji Han and Youngjoon Han and Hernsoo Hahn PY - 2009/12/ TI - Vehicle Detection Method using Haar-like Feature on Real Time System T2 - International Journal of Electrical and Computer Engineering SP - 1956 EP - 1961 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/13282 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 35, 2009 N2 - This paper presents a robust vehicle detection approach using Haar-like feature. It is possible to get a strong edge feature from this Haar-like feature. Therefore it is very effective to remove the shadow of a vehicle on the road. And we can detect the boundary of vehicles accurately. In the paper, the vehicle detection algorithm can be divided into two main steps. One is hypothesis generation, and the other is hypothesis verification. In the first step, it determines vehicle candidates using features such as a shadow, intensity, and vertical edge. And in the second step, it determines whether the candidate is a vehicle or not by using the symmetry of vehicle edge features. In this research, we can get the detection rate over 15 frames per second on our embedded system. ER -