Image detection and tracking parallel cooperative work method and apparatus

Abstract

The invention provides an image detection and tracking parallel cooperative work method and apparatus. The apparatus comprises a detection module, a tracking module and a mobile terminal, wherein thedetection module and the tracking module realize real-time and accurate target image detection through parallel cooperative work. According to the object detection and tracking parallel cooperative work method and apparatus, a tracked target is corrected through parallel cooperative work of the detection and tracking modules and comparison of detection and tracking results, so that the problem ofdetection delay of a detection algorithm due to large calculation overhead can be solved and the accuracy of the detection and tracking results can be further improved.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a method and device for image detection and tracking to work in parallel. Background technique [0002] Image detection and tracking is an important task in the field of computer vision. Image detection refers to finding and locating the size and position information of the target image in the input image. In recent years, the rapid development of deep neural network algorithms has greatly improved the accuracy of image detection, but it also generates a lot of computational overhead. This makes the field deployment of deep neural network algorithms, especially on embedded platforms, difficult to achieve real-time performance. Target tracking is to continuously locate the image content of a specified location area in a frame of image in subsequent consecutive images. Commonly used target tracking algorithms, such as algorithms based on correlation filtering, can accurately track...

AI Technical Summary

Problems solved by technology

This makes the field deployment of deep neural network algorithms, especially on embedded platforms, difficult to achieve real-time

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