| dc.description.abstract | Due to the concentration of population in cities, the traffic flow of the urban area is progressively growing and then more collision and accidents are raised. In this study, we design a safty detection which is focused on the following cases. When driving in cities, drivers will spend much time waiting for the transformation of the traffic signal or sticking in traffic jam. During the transformation of the traffic signal or sticking in traffic jam, if the front of the vehicle forward to leave or stop, the driver do not pay attention may cause inconvenience or collision. For the safety of drivers, the stop-and-go detection method is proposed in this study. In the stop-and-go detection method, corners are used as features to calculate optical flow. According to length and direction of the optical flow, we use different methods to filter optical flow in different regions and adjust the length of optical flow. After obtaining the dynamic information, integrating static information into dynamic information for clustering optical flows to get moving blocks. Finally, we use these moving blocks by the tracking skill to judge whether the front vehicle is stopping or going. This detection method can also avoid the effects of vehicles in different direction, variant weather, and the light at nighttime.
The proposed methods are evaluated in several variant environments. The detection rate of stop-and-go method is 95% and the frame rate is 150 to 160 frames per second.
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