<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Under the scenario of moving target tracking is very important in the fields of computer vision and research direction, its purpose is to give computer vision, double eye for simulation of the human visual information processing and information feedback process, in the process of the research can obtain the target trajectory information and provide related data for target tracking, The relevant research results of target tracking have been successfully developed in many fields such as human-computer interaction, security monitoring, intelligent monitoring and face recognition. However in the scene moving target vulnerable to disorder interference, light, shade, and scale complex situations, such as the change of the apparent dynamic change in the process of movement target, research can achieve different scenario stable tracking method has important research significance and engineering related events in the field of value, the existing popular nuclear-related filter tracking algorithm was improved, To solve the problem of occlusion and multi-scale change of tracking target, a new tracking algorithm based on multi-feature and multi-scale anti-occlusion is proposed by using kernel correlation filtering method.</p>
</abstract>

Under the scenario of moving target tracking is very important in the fields of computer vision and research direction, its purpose is to give computer vision, double eye for simulation of the human visual information processing and information feedback process, in the process of the research can obtain the target trajectory information and provide related data for target tracking, The relevant research results of target tracking have been successfully developed in many fields such as human-computer interaction, security monitoring, intelligent monitoring and face recognition. However in the scene moving target vulnerable to disorder interference, light, shade, and scale complex situations, such as the change of the apparent dynamic change in the process of movement target, research can achieve different scenario stable tracking method has important research significance and engineering related events in the field of value, the existing popular nuclear-related filter tracking algorithm was improved, To solve the problem of occlusion and multi-scale change of tracking target, a new tracking algorithm based on multi-feature and multi-scale anti-occlusion is proposed by using kernel correlation filtering method.

Target Tracking System Based on Dynamic Scene

School of Computer Science and Engineering

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Target Tracking System Based on Dynamic Scene"}

Under the scenario of moving target tracking is very important in the fields of computer vision and research direction, its purpose is to give computer vision,...

Challenge	deformation	Illumination	Motion blur	Fast moving	Background clutter	Out of plane	In-plane rotation
video	deformation	Illumination	Motion blur	Fast moving	Background clutter	Out of plane	In-plane rotation
freeman4	×	×	×	×	×	√	√
singer1	×	√	×	×	×	√	×
singer2	√	√	×	×	√	√	√
blurFace	×	×	√	√	×	×	√

Target Tracking System Based on Dynamic Scene

Online veröffentlicht: 24. Mai 2023

Seitenbereich: 1 - 9

DOI: https://doi.org/10.2478/ijanmc-2022-0021

Schlüsselwörter
Target, Tracking Kernel, Correlation Filter, Fusion Feature, Multi-Scale, Kalman Filter

© 2022 Fan Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Challenges in different video sequences

Target Tracking System Based on Dynamic Scene

Online veröffentlicht: 24. Mai 2023

Seitenbereich: 1 - 9

DOI: https://doi.org/10.2478/ijanmc-2022-0021

SchlüsselwörterTarget, Tracking Kernel, Correlation Filter, Fusion Feature, Multi-Scale, Kalman Filter

© 2022 Fan Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Figure 2.

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Figure 17.

Challenges in different video sequences

Schlüsselwörter
Target, Tracking Kernel, Correlation Filter, Fusion Feature, Multi-Scale, Kalman Filter