Most car seat detection method is artificial, which has low efficiency. To solve this problem, proposed a real-time detection system based on vision in this paper. Firstly, give the total block diagram of the system. Secondly, give the camera calibration method. Third, use significant value to detect the springs and use the Hough transform to detect the side curtain. Calculate the intersections between springs and the side curtain. If the intersections are 8, the car seat is qualified.

Electronic image stabilization (EIS) is the technology which detects and removes camera jitter in image sequences by digital image processing methods. It has been widely used in moving vehicles such as airborne, shipboard and vehicle-mounted camera systems. This paper firstly introduces the basic principle and structure of EIS system. Then the key techniques for each module are introduced and compared in processing speed and application scenes. The motion estimation method based on feature points is emphatically analyzed. Some experimental simulations and further discussion are made on the existing motion filtering and compensation methods. We also summarize the evaluation criteria for EIS performance. Finally the future research trend of EIS system is presented.

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