Moving human tracking across multi-camera based on artificial immune random forest and improved colour-texture feature fusion-Reference-Cited by-同舟云学术

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Moving human tracking across multi-camera based on artificial immune random forest and improved colour-texture feature fusion

Published:2017-05-16 Issue:4 Volume:65 Page:239-251
ISSN:1368-2199
Container-title:The Imaging Science Journal
language:en
Short-container-title:The Imaging Science Journal

Author:

Liu Jian,Hao Kuangrong,Ding Yongsheng,Yang Shiyu,Gao Lei

Funder

Shanghai Committee of Science and Technology

National Nature Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Vision and Pattern Recognition,Media Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/13682199.2017.1319608

Reference32 articles.

1. A self-adaptive edge matching method based on mean shift and its application in video tracking

2. A note on order statistics-based parametric pattern classification

3. A multiple camera methodology for automatic localization and tracking of futsal players

4. Video object matching across multiple non-overlapping camera views based on multi-feature fusion and incremental learning

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