Crowd Density Estimation Using Taylor Expansion and Local Texture Feature

被引：0

作者：

Lai, Chih-Chin ^{[1
]}

Chiu, Hsien-Chun ^{[1
]}

机构：

[1] Natl Univ Kaohsiung, Dept Elect Engn, Kaohsiung, Taiwan

来源：

2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2019年

关键词：

D O I：

10.1109/icce-tw46550.2019.8992038

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Crowd density estimation from images or videos is an important subject for crowd monitoring and safety control. In this paper, we propose a crowd density estimation method based on the Taylor expansion and the local binary count operator. Crowd density classification is performed using a support vector machine. Experiments on the PETS 2009 dataset are provided to demonstrate the feasibility of the proposed approach.

引用

页数：2

共 50 条

[1] Crowd density estimation based on texture feature extraction
Wang, Bobo
Bao, Hong
Yang, Shan
Lou, Haitao
Bao, H. (baohong@buu.edu.cn), 1600, Academy Publisher (08) : 331 - 337
[2] Automatic estimation of crowd density using texture
Marana, AN
Velastin, SA
Costa, LF
Lotufo, RA
SAFETY SCIENCE, 1998, 28 (03) : 165 - 175
[3] Texture-Based Feature Mining for Crowd Density Estimation: A Study
Saqib, Muhammad
Khan, Sultan Daud
Blumenstein, Michael
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON IMAGE AND VISION COMPUTING NEW ZEALAND (IVCNZ), 2016, : 18 - 23
[4] Crowd density estimation using sparse texture features
Dong N.
Liu F.
Li Z.
Journal of Convergence Information Technology, 2010, 5 (06) : 13
[5] Crowd density estimation using texture analysis and learning
Wu, Xinyu
Liang, Guoyuan
Lee, Ka Keung
Xu, Yangsheng
2006 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-3, 2006, : 214 - +
[6] Crowd Density as Dynamic Texture: Behavior Estimation and Classification
Nemade, Neeta A.
Gohokar, V. V.
INFORMATION AND COMMUNICATION TECHNOLOGY (ICICT 2016), 2018, 625 : 101 - 112
[7] A hybrid approach to crowd density estimation using statistical leaning and texture classification
Li, Yin
Zhou, Bowen
2013 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTOELECTRONIC IMAGING AND PROCESSING TECHNOLOGY, 2013, 9045
[8] Estimation of Crowd Density Using Multi-Local Features and Regression
Mao, Yaobin
Tong, Junyan
Xiang, Wenbo
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2010, : 6295 - 6300
[9] Crowd Density Map Estimation Based on Feature Tracks
Fradi, Hajer
Dugelay, Jean-Luc
2013 IEEE 15TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2013, : 40 - 45
[10] An Efficient Approach to Feature Extraction for Crowd Density Estimation
Nemade, Neeta Anil
Gohokar, V. V.
COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018, 2019, 810 : 345 - 354

← 1 2 3 4 5 →