Target tracking method based on triple twin hash network learning

Abstract

The invention discloses a target tracking method based on triple twin hash network learning, and relates to the technical field of computer vision, target tracking and deep learning. According to themethod, firstly, a triple twin hash network is constructed, and the network is composed of a data input layer, a convolution feature extraction layer and a hash coding layer. In the initial training process of the network, a training data set and a random gradient descent back propagation algorithm are used for training the triple twinning Hash network, and after training is completed, the initialcapacity of target positioning can be obtained through the network. In the tracking process, firstly, an input image passes through a triple twin region recommendation network to obtain correspondingcandidate frames, then the candidate frames are input into a triple twin Hash network to be subjected to forward processing, the similarity between each candidate frame and a query sample is calculated, the candidate frame with the highest similarity is selected as a tracking target object, and therefore target tracking is achieved.

Description

technical field [0001] The invention relates to the technical fields of computer vision, target tracking and deep learning. Background technique [0002] Target tracking is a very popular research topic in the field of computer vision. Its research content is to automatically identify the target object to be tracked in the subsequent video sequence according to a given video clip, and obtain the continuous position, appearance and motion of the target. . Target tracking is widely used in military and civilian intelligent monitoring, human-computer interaction, traffic monitoring and other fields, and has strong practical value. Although this research topic has been studied for decades, it remains a challenging one. In real-world situations, target objects are easily disturbed by various factors, such as illumination changes, pose changes, target occlusion, etc., making developing a consistently robust target tracking system a very challenging problem. [0003] Over the pa...

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Problems solved by technology

[0004] The purpose of the present invention is to provide a target tracking method based on triple twin hash network learning, which can effectively solve the problems of large memory space and large amount of parameter calculation caused by traditional deep learning directly using fully connected layer calculations. question

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