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Considering traffic accidents prone to the cause of lower object detection rate in haze condition, a dynamic dual-threshold object detection algorithm based on image enhancement was investigated in this paper. To cope with the problem of burr and discontinuity caused by the traditional edge detection operator in the severe haze days, an atmospheric scattering model based image enhancing method was put forward to improve the quality of the original image. Then object detection method of dynamic threshold, dynamic threshold based on mean-value filtering, dynamic dual threshold based on histogram equalization and dynamic dual threshold based on Laplace operator were employed to process and analyze the video of vehicle motion under variable haze conditions, and the application scopes and corresponding thresholds of these dynamic dual thresholds were determined. Finally, the best detection rate, the most poor detection rate, the average detection rate and false alarm rate of the improved algorithm are compared with 11097 images. The result illustrates that the improved algorithm is more suitable for object detection in haze condition and can help to reduce the traffic accident.