Decontaminate feature for tracking: adaptive tracking via evolutionary feature subset

Author:

Liu Qiaoyuan1

Affiliation:

1. Northeast Normal University, Department of Information Sciences and Technology, Changchun

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fusion of Infrared and Visible Images for Remote Detection of Low-Altitude Slow-Speed Small Targets;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

2. Salient Superpixel Visual Tracking with Graph Model and Iterative Segmentation;Cognitive Computation;2019-06-28

3. System design for moving target tracking based on mean-shift algorithm;Tenth International Conference on Digital Image Processing (ICDIP 2018);2018-08-09

4. Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study;Advances in Brain Inspired Cognitive Systems;2018

5. Robust Visual Tracking via Sparse Feature Selection and Weight Dictionary Update;Advances in Brain Inspired Cognitive Systems;2018

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