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Visual multiple‐object tracking for unknown clutter rate

  • Published:2018-04-05 Issue:5 Volume:12 Page:728-734
  • ISSN:1751-9632
  • Container-title:IET Computer Vision
  • language:en
  • Short-container-title:IET comput. vis

Author:

Kim Du Yong1

Affiliation:

1. Department of Electrical and Computer EngineeringCurtin UniversityBentleyAustralia

Funder

Australian Research Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Cited by 8 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. An Adaptive Multi-Sensor Generalised Labelled Multi-Bernoulli Filter for Linear Gaussian Models;2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS);2022-11-21

2. Multi-object tracking with an adaptive generalized labeled multi-Bernoulli filter;Signal Processing;2022-07

3. Long-short Term Prediction for Occluded Multiple Object Tracking;2021 IEEE Global Communications Conference (GLOBECOM);2021-12

4. Multi object tracking: a survey;Thirteenth International Conference on Digital Image Processing (ICDIP 2021);2021-06-30

5. Data association framework based on biconnected gated recurrent unit network for multiple object tracking;Journal of Electronic Imaging;2020-10-30
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