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The seatbelt location is the key to realizing the intelligent recognition of seatbelt unfasten. According to characteristics of the road monitoring image, a method of seatbelt localization based on gradient transform (GF) is proposed. With the method, by preprocessing the road monitor image, the vehicle position is located by using canny edge detection based on adaptive threshold and horizontal and vertical integration projection. And then license plate detection region is designed, with purpose of reducing image data computation, eliminating the interference from other regions. Nextly, license plate location is obtained by Haar-like cascaded classifier, which can get the image of vehicle on right in the method of approximation. Finally, the edge coordinates of car window can be calculated by gradient transform (GF) that can locate the position of seatbelt. The result shows that the method proposed can locate the position of vehicle window and seatbelt with relatively high applicability and accuracy, which may meet requirements of the urban traffic management.