Practical application of pedestrian intelligent detection technology based on computer vision

Abstract

Pedestrian detection based on computer vision technology uses camera equipment mounted in vehicles to obtain driving image data, and then calculates whether pedestrians exist from the image or sequence and gives accurate positioning. It improves the safety of driverless vehicles to a large extent and greatly reduces the probability of accidents Pedestrian detection is the use of computer vision technology to determine whether there is a pedestrian in the image or sequence, and at the same time to locate the pedestrian technology. In this paper, first of all, the threshold method, image segmentation technology is described, and then the feature extraction method is divided into two different categories of bottom features and machine learning to make an introduction, and then the classifier construction method is summarized. Finally, the future research of pedestrian detection technology is prospected through the existing problems.