ABSTRACT
On-road vehicle detection based on computer vision is becoming more and more important in vehicle safety, especially in the vehicle assistant driving and automatic navigation system [1] [2]. However, there are many problems in vehicle detection algorithm based on computer vision, such as incapability of real-time detecting vehicle, low rate of detection, high rate of false alarm, especially with the condition of the light change. The vehicle detection rate will be greatly influenced by vehicle obscured conditions [2] [3].
