Target tracking method based on twin network

Abstract

The invention provides a target tracking method based on a twin network, and the method comprises the steps: 1, reading a to-be-tracked image sequence or a first frame of a to-be-tracked video, and specifying the position of a to-be-tracked target in a box selection mode; 2, recording the position of the to-be-tracked target, and inputting the RGB image of the target into the network to obtain a feature map; 3, reading in the next frame of the image sequence or the video, and selecting a part of images around the target position of the previous frame to be input into the network to obtain a feature map; 4, performing convolution operation on the two feature maps to obtain a new feature map; 5, convolution is performed on the new feature map by using a small convolution kernel, so that a more abstract feature map can be obtained; 6, enabling the final feature map to pass through a full connection layer, and outputting the coordinate of the target in the current frame, the offset of thecenter of the image and the aspect ratio; and 7, drawing the position of the target in the current frame according to the output in the step 6.

Description

technical field [0001] The invention relates to a target tracking method based on twin networks. Background technique [0002] Object Tracking technology aims to determine the position of the target in a continuous picture sequence or video through computer vision. Object tracking can connect different frames to make more full use of the information of video or image sequences. Different from object detection, object tracking not only obtains the current position of the object, but also analyzes the movement and trajectory of the object, which also makes object tracking have very important research value. Target tracking can be applied to unmanned driving, analyzing the movement of vehicles or pedestrians, and judging whether there are potential safety hazards by predicting trajectories; and monitoring areas with high traffic density, judging whether there are suspicious persons by analyzing the walking paths of pedestrians, etc. In addition, in single target tracking, the...

AI Technical Summary

Problems solved by technology

[0009] In order to solve the above problems, the present invention discloses a twin-network-based and anchor-free single-target tracking method, which can significantly improve the tracking efficiency without greatly reducing the tracking effect. Guaranteed to run quickly even when the hardware environment is not ideal

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