An adaptive block-based matching algorithm for crowd motion sequences-Reference-Cited by-同舟云学术

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An adaptive block-based matching algorithm for crowd motion sequences

Published:2017-01-23 Issue:2 Volume:77 Page:1783-1809
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kajo Ibrahim,Kamel Nidal,Malik Aamir Saeed

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/article/10.1007/s11042-016-4327-9/fulltext.html

Reference44 articles.

1. Ali S, Shah M (2007) A lagrangian particle dynamics approach for crowd flow segmentation and stability analysis. 2007 I.E. Conference on Computer Vision and Pattern Recognition. pp 1–6

2. Basset A, Bouthemy P, Kervrann C (2014) Recovery of motion patterns and dominant paths in videos of crowded scenes. 2014 I.E. International Conference on Image Processing (ICIP). pp 184–188

3. BenAbdelkader C, Cutler R, Davis L (2002) Motion-based recognition of people in EigenGait space. Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002 267–272. doi: 10.1109/AFGR.2002.1004165

4. Chaker R, Junejo IN, Al Aghbari Z (2015) Crowd modeling using social networks. Image Processing (ICIP), 2015 I.E. International Conference on. pp 1280–1284

5. Chang X, Nie F, Yang Y, Huang H (2014) A convex sparse PCA for feature analysis. arXiv preprint arXiv:1411.6233

Cited by 2 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. Crowd flow estimation from calibrated cameras;Machine Vision and Applications;2020-10-15

2. Big data analytics for video surveillance;Multimedia Tools and Applications;2019-06-05

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