Automatic multiple human tracking using an adaptive hybrid GMM based detection in a crowd-Reference-Cited by-同舟云学术

Automatic multiple human tracking using an adaptive hybrid GMM based detection in a crowd

Published:2020-08-07 Issue:39-40 Volume:79 Page:28993-29019
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Karpagavalli P.,Ramprasad A. V.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-019-08181-0.pdf

Reference31 articles.

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3. Smeulders AWM, Chu DM, Cucchiara R, Calderara S, Dehghan A, Shah M (2014) Visual tracking: an experimental survey. IEEE Trans Pattern Anal Mach Intell 36(7):1442–1468

4. Bernardin K, Stiefelhagen R (2008) Evaluating multiple object tracking performance: the clear MOT metrics. EURASIP Journal on Image and Video Processing 2008(1):246–309

5. Chandrajit M, Girisha R, Vasudev T (2016) Multiple objects tracking in surveillance video using color and HU moments. Signal and Image Processing: An International Journal (SIPIJ) 7(3):15–26

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