Second-order convolutional network for crowd counting

Luyang Wang; Qiang Zhai; Baoqun Yin; Hazrat Bilal

doi:10.1117/12.2540362

31 July 2019 Second-order convolutional network for crowd counting

Luyang Wang, Qiang Zhai, Baoqun Yin, Hazrat Bilal

Proceedings Volume 11198, Fourth International Workshop on Pattern Recognition; 111980T (2019) https://doi.org/10.1117/12.2540362
Event: Fourth International Workshop on Pattern Recognition, 2019, Nanjing, China

Abstract

Single image crowd counting remains challenging primarily due to various issues, such as large scale variations, perspective and non-uniform crowd distribution. In this paper, we propose a novel architecture referred to Second-Order Convolutional Network (SOCN) to deal with this task from the perspective of improving the feature transformation capability of the network. The proposed SOCN applies a convolutional neural network as the backbone. We introduce three cascaded second-order blocks located behind the backbone to augment the family of transformation operations and increase the nonlinearity of the network, which can extract multi-scale and discriminative features. Furthermore, we design a context attention module (CAM) including dilated convolutions to assign weights to the score map of each second-order block for the purpose that the features which contribute to counting can be highlighted. We conduct various experiments on ShanghaiTeach1 and UCF_CC_502 datasets, and the results demonstrate the effectiveness of our method.

Citation Download Citation

Luyang Wang, Qiang Zhai, Baoqun Yin, and Hazrat Bilal "Second-order convolutional network for crowd counting", Proc. SPIE 11198, Fourth International Workshop on Pattern Recognition, 111980T (31 July 2019); https://doi.org/10.1117/12.2540362

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Content addressable memory

Convolution

Deconvolution

Head

Image resolution

Convolutional neural networks

Distance measurement

Show All Keywords

Keywords/Phrases

Search In:

Publication Years