Safe state recognition system for people on basis of machine vision

Abstract

The invention discloses a safe state recognition system for people on the basis of machine vision, aiming to solve the problem that the corresponding intelligent control decision for the vehicle driving behaviour can not be formulated according to the safe state of the people in the prior art. The method comprises the following steps: collecting a vehicle-mounted dynamic video image; detecting and recognizing a pedestrian in an interested area in front of a vehicle; tracking a moving pedestrian; detecting and calculating the distance of pedestrian in front of the vehicle; and obtaining vehicle real-time speed; and recognizing the safe state of the pedestrian. The process of recognizing the safe state of the pedestrian comprises the following steps: building a critical conflict area; judging the safe state when the pedestrian is out of the conflict area in the relative moving process; and judging the safe state when the pedestrian is in the conflict area in the relative moving process. Whether the pedestrian enters a dangerous area can be predicted by the relative speed and the relative position of a motor vehicle and the pedestrian, which are obtained by a vision sensor in the above steps. The safe state recognition system can assist drivers in adopting measures to avoid colliding pedestrians.

Description

technical field [0001] The invention relates to a method for detecting pedestrians in front of a vehicle and identifying their safety status by using a vehicle-mounted image processing device, more specifically, the invention relates to a method for identifying pedestrian safety status based on machine vision. Background technique [0002] Mixed traffic is an important feature of my country's traffic. Motor vehicles, bicycles, and pedestrians have serious conflicts on the road, and pedestrians in a disadvantaged position have relatively greater safety hazards. According to the statistics of the traffic management department of the Ministry of Public Security, after 2000, the average number of traffic deaths in my country exceeded 100,000 every year, and the number of injured people was about 500,000, of which more than 60% were pedestrians and cyclists. Therefore, the development of pedestrian safety protection system is of great significance to reduce traffic accidents and ...

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is the problem that the prior art cannot formulate corresponding vehicle driving behavior intelligent control decisions according to the pedestrian's safety state, and provides a pedestrian safety state recognition method based on machine vision

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