Long-time correlation filtering target tracking method based on adaptive feature fusion

Abstract

The invention relates to a long-time correlation filtering target tracking method based on adaptive feature fusion, and belongs to the field of computer vision. The method comprises the following steps: in a target position prediction stage, respectively extracting an HOG feature and a color histogram feature of each frame of image, respectively obtaining a response diagram of each feature by using a kernel correlation filter and a color histogram model, and normalizing a peak value of the response diagram of each feature so as to dynamically adjust weights of different features; the adaptive fusion of the features is realized, and the position of the tracking target is estimated according to the fused feature response graph; two confidence coefficient detection indexes are set at the same time, and a detection filter and an SVM classifier are additionally trained and are respectively used for detecting whether a current tracking target is reliable or not, namely, whether the target is lost or not and repositioning the position of the lost target, so that long-time tracking of the target is realized.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a long-term correlation filtering target tracking method based on adaptive feature fusion. Background technique [0002] As one of the key technologies in the field of computer vision, target tracking has many applications in real life, including intelligent monitoring, human-computer interaction, medical diagnosis, national defense and military and other fields. Due to the complex and changeable actual tracking environment, the target is easily affected by various factors, and the target loss will eventually lead to the tracking failure. Therefore, how to achieve long-term stable tracking of the target under the influence of multiple factors is still a challenging problem. [0003] In recent years, the target tracking algorithm based on correlation filtering has attracted the attention of many researchers because of its high precision and high real-time performance. In 2010, the MO...

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Problems solved by technology

[0008] In view of this, the object of the present invention is to provide a long-term correlation filter target tracking method based on adaptive feature fusion, to solve the problem of target loss in the long-term tracking process of the target in a complex environment

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