Method and system for detecting pedestrian in front of vehicle

Abstract

The invention discloses a method and a system for detecting the pedestrian in front of a vehicle. The method comprises the steps of image acquisition and preprocessing, image scaling, LBP (Local Binary Pattern) and HOG (Histogram of Oriented Gradient) feature extraction, region of interest extraction, target identification, and target fusion and early warning. A driver is reminded timely at the presence of the pedestrian in front of the vehicle. The system for detecting the pedestrian in front of the vehicle comprises three portions which are an image acquisition unit, an SOPC (System on Programmable Chip) unit and an ASIC (Application Specific Integrated Circuit) unit, wherein the image acquisition unit is a camera unit, the SOPC unit comprises an image preprocessing unit, a region of interest extraction unit, a target identification unit, and a target fusion and early warning unit, and the ASIC unit comprises an image scaling unit, an LBP feature extraction unit and an HOG feature extraction unit. According to the invention, LBP features and HOG features are used in a joint manner, and two-level detection improves the accuracy of pedestrian detection on the whole; and HOG feature extraction is dynamically adjusted according to classification conditions of an LBP based SVM (Support Vector Machine), the calculation amount is reduced, the calculation speed is improved, and the driving safety of the vehicle is improved.

Description

technical field [0001] The invention relates to disciplines such as image processing, pattern recognition, and intelligent control, and belongs to the fields of automotive electronics and computer vision, in particular to a method and system for detecting pedestrians in front of a vehicle. Background technique [0002] The pedestrian detection in front of the vehicle based on computer vision is to use the camera installed on the moving vehicle to obtain the image information in front of the vehicle, and then detect the position of the pedestrian from the image according to a specific algorithm. This technology is a key technology in the intelligent vehicle-assisted navigation technology in the urban traffic environment. It can effectively assist the driver to respond to the external environment in a timely manner and avoid collisions with pedestrians. [0003] Pedestrian detection in front of the vehicle is different from ordinary human detection. In addition to the difficul...

AI Technical Summary

Problems solved by technology

[0005] So far, major companies, universities, and scientific research institutes around the world have published many papers on pedestrian detection every year, but most of them stay at the theoretical stage, and most of the experiments are simulated on the PC platform through Matlab or with the help of Completed in the OpenCV library, the real-time performance is not good, and there are few methods and devices that can be directly applied to the vehicle system

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