Research of multi-object detection and tracking using machine learning based on knowledge for video surveillance system-Reference-Cited by-同舟云学术

Research of multi-object detection and tracking using machine learning based on knowledge for video surveillance system

Published:2019-08-28 Issue: Volume: Page:
ISSN:1617-4909
Container-title:Personal and Ubiquitous Computing
language:en
Short-container-title:Pers Ubiquit Comput

Author:

Ahn Hyochang,Cho Han-Jin

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,Computer Science Applications,Hardware and Architecture

Link

http://link.springer.com/content/pdf/10.1007/s00779-019-01296-z.pdf

Reference35 articles.

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2. Ahn H, Lee Y (2016) Performance analysis of object recognition and tracking for the use of surveillance system. J Ambient Intell Humaniz Comput 7(5):673–679

3. Valera M, Velastin SA (2005) Intelligent distributed surveillance systems: a review, IEE Proc Vision Image Signal Process, vol 152. No. 2. IET, pp 192–204

4. Wu Y, Jongwoo L, Ming-Hsuan Y (2015) Object tracking benchmark. IEEE Trans Pattern Anal Mach Intell 37(9):1834–1848

5. Yi W, Lim JW, Yang MH (2013) Online object tracking: a benchmark, In: CVPR, pp 2411–2418

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