Target tracking method and device

Abstract

The invention provides a target tracking method and device, belonging to the field of computer vision and mode identification. The method and the device are used for solving the problem of high complexity of an existing target tracking algorithm. The method comprises the steps of selecting a first target position in an Ith frame, determining the tracking result of a first target as a first positive sample, determining the characteristic set of a first sample set from multiple first positive sample packets and first negative sample packets through a formula (1), determining a first MIL1-norm SVM through the characteristic matrix formula (2) of first training data, constructing a first minimum support sample set through a formula (3), determining the weight of the first minimum support sample set through a formula (4), determining the classification score of the first support sample set corresponding to the MIL1-norm SVM based on weight distribution through a formula (5), and classifying candidates through the first MIL1-norm SVM in an (I+1)th frame and determining the second target position in a (I+1)th frame image according to the weight of a second minimum support sample set and a formula (6).

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and in particular relates to a target tracking method and device. Background technique [0002] The automatic tracking of targets is one of the important topics in the field of computer vision research. It is widely used in various aspects such as intelligent monitoring, traffic flow analysis, vehicle system navigation and human-computer interaction. It is of great significance and research value to study a robust target tracking system. Because the actual tracking system is often affected by environmental lighting, cluttered background, occlusion, and the scale and deformation of the target itself, resulting in the decline of tracking accuracy and even tracking drift, it is difficult to meet the requirements of actual engineering. [0003] In the process of target tracking, the scale, rotation and occlusion of the target lead to the degradation of the target tracking templ...

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a method and device for target tracking, which are used to solve the problem that existing target tracking algorithms have too many examples in positive and negative sample packets, resulting in performance degradation of the classifier and high computational complexity of the algorithm.

Images