Real-time traffic parameter extraction using entropy

被引：30
|
作者：
Hsu, WL [1 ]
Liao, HYM
Jeng, BS
Fan, KC
机构：
[1] Cent Univ, Dept Comp Sci & Informat Engn, Taoyuan, Taiwan
[2] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan
[3] Telecommun Labs Telecommun Co Ltd, Taoyuan, Taiwan
来源：
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING | 2004年 / 151卷 / 03期
关键词：
D O I：
10.1049/ip-vis:20040314
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：
A vision-based traffic monitoring system that can perform real-time traffic parameter extraction is proposed. The entropy measurement, which is commonly adopted as an important feature to describe the degree of disorder in thermodynamics, is used as an underlying feature in this work. Based on an entropy measurement, a number of important traffic parameters, such as traffic flow, space mean speed and traffic queue, can be determined in real time. The experimental results clearly show that the proposed system is highly effective.
引用
收藏
页码：194 / 202
页数：9
相关论文
共 50 条
  • [41] Real-Time Vehicle Detection in Urban Traffic Using AdaBoost
    Park, Jong-Min
    Choi, Hyun-Chul
    Oh, Se-Young
    [J]. IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 3598 - 3603
  • [42] Real-time detection of traffic events using smart cameras
    Macesic, M.
    Jelaca, V.
    Nino-Castaneda, J. O.
    Prodanovic, N.
    Panic, M.
    Pizurica, A.
    Crnojevic, V.
    Philips, W.
    [J]. INTELLIGENT ROBOTS AND COMPUTER VISION XXIX: ALGORITHMS AND TECHNIQUES, 2012, 8301
  • [43] Real-Time Traffic Sign Detection using Capsule Network
    Pari, Neelavathy S.
    Mohana, T.
    Akshaya, V
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC 2019), 2019, : 193 - 196
  • [44] Real-time traffic prediction using AOSVR and cloud model
    Zhao, Mo
    Cao, Kai
    Ho, Sogen
    [J]. 2007 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE, VOLS 1 AND 2, 2007, : 264 - +
  • [45] The Real-Time Detection of Traffic Participants Using YOLO Algorithm
    Corovic, Aleksa
    Ilic, Velibor
    Duric, Sinisa
    Marijan, Malisa
    Pavkovic, Bogdan
    [J]. 2018 26TH TELECOMMUNICATIONS FORUM (TELFOR), 2018, : 731 - 734
  • [46] Improvement of real-time traffic management by using optimization tools
    Rodriguez, Joaquin
    Pellegrini, Paola
    Marliere, Gregory
    Hu, Shaowei
    Richard, Sonia Sobieraj
    [J]. XI CONGRESO DE INGENIERIA DEL TRANSPORTE (CIT 2014), 2014, 160 : 465 - 473
  • [47] Real-time Traffic Incident Detection Using an Autoencoder Model
    Yang, Huan
    Wang, Yu
    Zhao, Han
    Zhu, Jinlin
    Wang, Danwei
    [J]. 2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [48] Real-Time Traffic Flow Forecasting Using Spectral Analysis
    Tchrakian, Tigran T.
    Basu, Biswajit
    O'Mahony, Margaret
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2012, 13 (02) : 519 - 526
  • [49] Real-Time Traffic Light Detection Using Color Density
    Tai Huu-Phuong
    Cuong Cao Pham
    Tien Phuoc Nguyen
    Tin Trung Duong
    Jeon, Jae Wook
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-ASIA (ICCE-ASIA), 2016,
  • [50] Real-time parameter id using polynomial chaos expansions
    Southward, Steve C.
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINERING CONGRESS AND EXPOSITION 2007, VOL 9, PTS A-C: MECHANICAL SYSTEMS AND CONTROL, 2008, : 1167 - 1173
12345