Sorry, you need to enable JavaScript to visit this website.

facebooktwittermailshare

A REAL-TIME DEEP NETWORK FOR CROWD COUNTING

Abstract: 

Automatic analysis of highly crowded people has attracted extensive attention from computer vision research. Previous approaches for crowd counting have already achieved promising performance across various benchmarks. However, to deal with the real situation, we hope the model run as fast as possible while keeping accuracy. In this paper, we propose a compact convolutional neural network for crowd counting which learns a more efficient model with a small number of parameters. With three parallel filters executing the convolutional operation on the input image simultaneously at the front of the network, our model could achieve nearly real-time speed and save more computing resources. Experiments on two benchmarks show that our proposed method not only takes a balance between performance and efficiency which is more suitable for actual scenes but also is superior to existing light-weight models in speed.

up
0 users have voted:

Paper Details

Authors:
Submitted On:
19 May 2020 - 6:14am
Short Link:
Type:
Presentation Slides
Event:

Document Files

ICASSP_2020_XShi_PPT.pdf

(5)

Subscribe

[1] , "A REAL-TIME DEEP NETWORK FOR CROWD COUNTING", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5399. Accessed: Jun. 06, 2020.
@article{5399-20,
url = {http://sigport.org/5399},
author = { },
publisher = {IEEE SigPort},
title = {A REAL-TIME DEEP NETWORK FOR CROWD COUNTING},
year = {2020} }
TY - EJOUR
T1 - A REAL-TIME DEEP NETWORK FOR CROWD COUNTING
AU -
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5399
ER -
. (2020). A REAL-TIME DEEP NETWORK FOR CROWD COUNTING. IEEE SigPort. http://sigport.org/5399
, 2020. A REAL-TIME DEEP NETWORK FOR CROWD COUNTING. Available at: http://sigport.org/5399.
. (2020). "A REAL-TIME DEEP NETWORK FOR CROWD COUNTING." Web.
1. . A REAL-TIME DEEP NETWORK FOR CROWD COUNTING [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5399