Target determination method and device, equipment and computer readable storage medium

Abstract

The invention discloses a target determination method and device, equipment and a computer readable storage medium. The target determination method comprises the following steps: acquiring an acquired monitoring image, performing target detection on the monitoring image to obtain at least one initial target, sequentially determining whether each initial target is a true target or not, and taking all the true targets as final targets, the determination of target frame parameters comprising: determining a three-dimensional model of a target object according to the target object; moving the position of the three-dimensional model in a world coordinate system associated with the image coordinates; converting the three-dimensional model of the position to an image coordinate system to obtain a target frame parameter; or, the determination of the target frame parameters comprising the following steps: acquiring a historical monitoring image; performing target detection on the historical monitoring image to obtain a target frame of the target object; and determining target frame parameters according to the target frame. According to the technical scheme provided by the embodiment of the invention, the false target object in the blind area is filtered, the false alarm rate is reduced, and the product performance and the user experience are improved.

Description

technical field [0001] The present invention relates to computer vision processing technology, in particular to a target determination method, device, equipment, and computer-readable storage medium. Background technique [0002] With the development of urban construction, large vehicles such as buses, tank trucks, and muck trucks have contributed to urban construction, and at the same time, many unnecessary traffic accidents have occurred. Due to the high body height of large vehicles, there is a large visual blind spot for the driver, and the pedestrian target is relatively small, so the driver cannot observe pedestrians entering the blind spot, especially when the vehicle is turning, there is a greater safety hazard. [0003] At present, by installing a blind spot monitoring camera on a large vehicle, the picture in the blind spot is presented to the driver, and an alarm is issued when there is a pedestrian in the blind spot. However, the pedestrian determination method ...

AI Technical Summary

Problems solved by technology

However, the pedestrian determination method in the prior art cannot achieve 100% accuracy, and there will be misidentification of pedestrians. When non-pedestrian targets appear in the blind area, an alarm will be issued, resulting in a large number of false alarms, which seriously affect product performance and quality. user experience

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