Boosting deep attribute learning via support vector regression for fast moving crowd counting-Reference-Cited by-同舟云学术

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Boosting deep attribute learning via support vector regression for fast moving crowd counting

Published:2019-03 Issue: Volume:119 Page:12-23
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Wei Xinlei,Du Junping^ORCID,Liang Meiyu,Ye Lingfei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference23 articles.

1. Counting people with low-level features and bayesian regression;Chan;IEEE Trans. Image Process.,2012

2. Feature mining for localised crowd counting;Chen,2012

3. Cumulative attribute space for age and crowd density estimation;Chen,2013

4. Learning to segment moving objects in videos;Fragkiadaki,2015

5. Cross-scene crowd counting via deep convolutional neural networks;Zhang,2015

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