Supervised Machine Learning Approaches for Moving Object Tracking: A Survey-Reference-Cited by-同舟云学术

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Supervised Machine Learning Approaches for Moving Object Tracking: A Survey

Published:2022-01-30 Issue:2 Volume:3 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Mondal Ajoy

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01040-0.pdf

Reference276 articles.

1. The birchfield dataset. 1998. http://www.ces.clemson.edu/~stb/research/headtracker/seq/.

2. Tracking of abrupt motion project website: 1998. http://cv.snu.ac.kr/research/~wlmctracker/index.html.

3. CAVIAR: Context aware vision using image-based active recognition. 2002. http://homepages.inf.ed.ac.uk/rbf/CAVIAR/.

4. CAVIAR test case scenarios. 2002. http://groups.inf.ed.ac.uk/vision/CAVIAR/CAVIARDATA1/.

5. FRAGtrack dataset: 2006. http://www.cs.technion.ac.il/~amita/fragtrack/fragtrack.htm.

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