1. An image processing method comprising: determining, by a processor, whether a motion value corresponding to a current frame captured by a camera is less than a first motion value and a motion value corresponding to a previous frame captured by the camera is greater than the first motion value; determining, by the processor, if the motion value corresponding to the current frame is not less than the first motion value and the motion value corresponding to the previous frame is not greater than the first motion value, whether an image variation value related to the current frame is less than a first image variation value and an image variation value related to the previous frame is greater than the first image variation value; determining, by the processor, if the image variation value related to the current frame is less than the first image variation value and the image variation value related to the previous frame is greater than the first image variation value, whether at least one object exists in the current frame and in the previous frame; recognizing, by the processor, if the at least one object exists in the current frame and in the previous frame, a feature of the at least one object in the current frame; and tracking, by the processor, based on the feature, at least one object in subsequent frames sequentially captured by the camera.