Method and system for detecting and recognizing target in real-time video, storage medium, and device

Abstract

This disclosure provides a method and a system for detecting and recognizing a target object in a real-time video. The method includes: determining whether a target object recognition result Rof a previous frame of image of a current frame of image is the same as a target object recognition result Rof a previous frame of image of the previous frame of image; performing target object position detection in the current frame of image by using a first-stage neural network to obtain a position range Cof a target object in the current frame of image when the two recognition results Rand Rare different; or determining a position range Cof a target object in the current frame of image according to a position range Cof the target object in the previous frame of image when the two recognition results Rand Rare the same; and performing target object recognition in the current frame of image according to the position range Cby using a second-stage neural network. Therefore, the operating frequency of the first-stage neural network used for position detection is reduced, the recognition speed is accelerated, and the usage of CPU and internal memory resources is reduced.