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Target tracking method combining scale adaptation and model updating

A scale-adaptive and model-updating technology, applied in the field of computer vision, can solve problems that need to be further studied in research, and achieve the effect of improving model tracking performance

Active Publication Date: 2020-08-25
XIAN TECHNOLOGICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing typical correlation filter methods have achieved many results in processing sample selection and target appearance representation, but research on tracking search areas and adaptive adjustment methods for model learning rates still needs to be further studied

Method used

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  • Target tracking method combining scale adaptation and model updating
  • Target tracking method combining scale adaptation and model updating
  • Target tracking method combining scale adaptation and model updating

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] Such as figure 1 As shown in , a target tracking method that combines scale adaptation and model updating includes the following steps:

[0046] Step 1: Determine the preliminary search area according to the target state of the current frame;

[0047] Step 2: Train the scale correlation filter to estimate the target scale change, so as to accurately adjust the size of the search area;

[0048] Step 3: Build a training model to obtain a confidence response map; then complete the occlusion judgment according to the fluctuation of the response map;

[0049] Step 4: Adaptively adjust the learning rate of the model according to the occlusion determination;

[0050] Step 5: Update the corresponding training model through a given threshold.

[0051] Design of the scale estimation filter:

[0052] The scale correlation filter is trained by the orientation gradient histogram feature to realize the scale estimation of the target, detect the scale change of the target during the...

Embodiment 2

[0088] The implementation platform of this method: the CPU is Intel core(TM) i5-6500U, the main frequency is 3.2GHz, the memory is 8GB, the operating system is 64 bits, and the programming is implemented on Matlab2017b software.

[0089] In the experimental verification stage, a typical OTB100 data set is selected for testing, and the performance of each tracking method is evaluated according to the center position error criterion and the bounding box overlap rate. In order to verify the effectiveness of this design method, four filtering tracking methods are selected for Comparative analysis, including Kernelized Correlation Filter (KCF), discriminative scale space tracking (Discriminative Scale Space Tracking, DSST), background-aware correlation filter (Background-Aware Correlation Filters, BACF), scale adaptive multi-kernel correlation filter ( Scale Adaptive Multiple Kernel Correlation Filter Tracker, SAMF).

[0090] Parameter settings: the cell unit size is 4×4 pixels, th...

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Abstract

The invention belongs to the technical field of computer vision, and particularly relates to a target tracking method combining scale adaptation and model updating, which comprises the following stepsof: 1, determining a preliminary search area according to the target state of a current frame; 2, training a scale correlation filter, and estimating the scale change of a target, so as to accuratelyadjust the size of a search region; 3, constructing a training model to obtain a confidence response graph; completing occlusion judgment according to fluctuation of the response diagram; 4, adaptively adjusting the learning rate of the model according to the occlusion judgment; and 5, updating the corresponding training model through a given threshold value. According to the method, the target tracking performance of the typical tracker under the influence of complex factors such as scale change, shielding interference and illumination background is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a target tracking method combining scale self-adaptation and model updating. Background technique [0002] With the development of artificial intelligence technology and the improvement of control theory, computer vision has gradually become a research hotspot, and its status in people's life and military fields has become increasingly prominent. Target tracking uses the context information between video sequences to describe the target appearance information and build a corresponding model to predict and calibrate the target position. As one of the important components of computer vision, it is widely used in human-computer interaction, intelligent monitoring, and medical diagnosis. and sports science have been widely used. In recent years, although the performance of object tracking technology has been greatly improved, it still faces a series of challenges...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T7/20G06T2207/20081G06T2207/20056
Inventor 胡秀华惠燕陈媛梁颖宇王长元
Owner XIAN TECHNOLOGICAL UNIV
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