Electronic Image Stabilization System Research Articles

Vehicular Electronic Image Stabilization System Based on a Gasoline Model Car Platform

Noise, vibration and harshness (NVH) problems in vehicle engineering are always challenging in both traditional vehicles and intelligent vehicles. Although high accuracy manufacturing, modern structural roads and advanced suspension technology have already significantly reduced NVH problems and their impacts; off-road condition, obstacles and extreme operating condition could still trigger NVH problems unexpectedly. This paper proposes a vehicular electronic image stabilization (EIS) system to solve the vibration problem of the camera and ensure the environment perceptive function of vehicles. Firstly, feature point detection and matching based on an oriented FAST and rotated BRIEF (ORB) algorithm are implemented to match images in the process of EIS. Furthermore, a novel improved random sampling consensus algorithm (i-RANSAC) is proposed to eliminate mismatched feature points and increase the matching accuracy significantly. And an adaptive Kalman filter (AKF) is applied to improve the adaptability of the vehicular EIS. Finally, an experimental platform based on a gasoline model car was established to validate its performance. The experimental results show that the proposed EIS system can satisfy vehicular performance requirements even under off-road condition with obvious obstacles.

An Overview and Analysis of Electronic Stabilization for Cameras on Moving Vehicles

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.

Electronic image stabilization system based on global feature tracking

A new robust electronic image stabilization system is presented, which involves feature-point, tracking based global motion estimation and Kalman filtering based motion compensation. First, global motion is estimated from the local motions of selected feature points. Considering the local moving objects or the inevitable mismatch, the matching validation, based on the stable relative distance between the points set is proposed, thus maintaining high accuracy and robustness. Next, the global motion parameters are accumulated for correction by Kalman filteration. The experimental result illustrates that the proposed system is effective to stabilize translational, rotational, and zooming jitter and robust to local motions.

Electronic Image Stabilization System for Video Cameras and VCRs

Further miniaturization (size and weight reductions) and zooming capability enhancement have made consumer-grade video cameras as popular as VCRs with general consumers. As the result of these trends, however, some problems have surfaced, such as poor playback image quality due to fluctuation of images captured by the handheld video cameras. In recognition of these problems, Matsushita has developed an image stabilization system that is based entirely on image-processing techniques and that is small enough to be incorporated into compact video cameras and VCRs.