Moving Object Detection for Driving Assistance System Based on Improved ORB Feature Matching
In order to overcome the shortcoming of origin feature matching and extract moving objects accurately for real time driving assistance system. We present a novel moving object detection method based on improved ORB. Firstly, The ORB is used to extract and match feature points. Secondly, we establish an improved Feature Matching Optimization Strategy to remove the mismatched pairs more efficiently. Then differential multiplication and morphology processing are used to accurately segment the moving objects. Finally, a Driving Impact Degree Alarm Mechanism is proposed to give the driver an early warning to take braking measures. Experimental results show that the accuracy of feature matching could be increased to 97 by our method and the processing speed is fast enough to meet the requirements for real time driving assistance system. It also has certain advantages in dealing with noise suppression.
IDCS