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Most approaches to vehicle tracking have adopted a single calibrated camera for the task, which leads to an under-conditioned problem. We present a surveillance system for on-line vehicle tracking based on two cameras and structure from motion (SfM). Our surveillance system starts by tracking feature points. A novel matching scheme is proposed that allows a subset of feature points to be corresponded...
This paper presents a real-time moving object detection method using the wavelet-based neural networks for the pre-crash safety system of a vehicle. The proposed method uses stationary infrared cameras to sense vehicles and obstacles on the road ahead, and the CarPC to determine whether or not a collision is based on the speed, position, and traveling route of the object. In this method, the stationary...
This paper developed a new technology for the detection of traffic stop-sign from a motion picture captured by a CCD camera in a car. Firstly original image was segmented in YCbCr color model by the threshold of characteristic color of traffic stop-sign. Then a new fitness function was presented, which considering of the symmetry of traffic stop-sign. In the process of template matching, a modified...
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