3D-objecttracking with a mixed omnidirectional stereo camera system

被引:18
|
作者
Lauer, Martin [1 ]
Schoenbein, Miriam [1 ]
Lange, Sascha [2 ]
Welker, Stefan [2 ]
机构
[1] Karlsruher Inst Technol, Inst Mess & Regelungstech, D-76131 Karlsruhe, Germany
[2] Univ Freiburg, Inst Informat, D-79110 Freiburg, Germany
关键词
Mixed perspective and omnidirectional stereo vision; Mixed monocular and binocular observations; Motion estimation; Robot soccer; MAXIMUM-LIKELIHOOD; TRACKING;
D O I
10.1016/j.mechatronics.2010.05.007
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a novel technique of stereo vision based on the combination of an omnidirectional camera and a perspective camera. The technique combines the 360 degrees field of view of the omnidirectional camera with the long field of view of a perspective camera. We describe the setup of such a camera system and how it can be used to achieve 3D-position estimates. Furthermore, we develop a maximum likelihood approach and a Bayesian approach that are able to fuse monocular and binocular observations of the same object to estimate its position and movement and show how this technique can be applied successfully in the RoboCup MiddleSizeLeague. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:390 / 398
页数:9
相关论文
共 50 条
  • [21] Fisheye optics for omnidirectional stereo camera Performance evaluation for AGV applications
    Mayra, Aki
    Aikio, Mika
    Ojala, Kai
    Mandici, Szilard
    Vatavu, Andrei
    Nedevschi, Sergiu
    2015 IEEE 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTER COMMUNICATION AND PROCESSING (ICCP), 2015, : 225 - 230
  • [22] A versatile method for omnidirectional stereo camera calibration based on BP algorithm
    Luo, Chuanjiang
    Su, Liancheng
    Zhu, Feng
    Shi, Zelin
    ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS, 2006, 3972 : 383 - 389
  • [23] Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching
    Kang, Donghun
    Jang, Hyeonjoong
    Lee, Jungeon
    Kyung, Chong-Min
    Kim, Min H.
    2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2022, : 12962 - 12970
  • [24] Distortion compensation of an omnidirectional camera by 3D reference objects
    Sigel, Andre
    Heinrich, Andreas
    TM-TECHNISCHES MESSEN, 2022, 89 (11) : 729 - 740
  • [25] Omnidirectional 3D reconstruction using rotating camera with mirrors
    Wei, Jiang
    Sugimoto, Shigeki
    Okutomi, Masatoshi
    Systems and Computers in Japan, 2007, 38 (04) : 12 - 24
  • [26] 3D MODELLING OF AN INDOOR SPACE USING A ROTATING STEREO FRAME CAMERA SYSTEM
    Kang, J.
    Lee, I.
    XXIII ISPRS Congress, Commission IV, 2016, 41 (B4): : 303 - 308
  • [27] A Real-Time 3D Interactive System with Stereo Camera in the Uncertain Background
    Yu, Chun-Wei
    Chang, Che-Wei
    Chen, Liang-Gee
    2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2015, : 661 - 662
  • [28] Development of a 3D Measurement System for Aquaculture Fish Using Spherical Stereo Camera
    Komoda, Yoshihisa
    Enomoto, Koichiro
    Toda, Masashi
    Ito, Minefumi
    Sakai, Osamu
    Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, 2025, 91 (01): : 97 - 103
  • [29] 3D DATA ACQUISITION USING STEREO CAMERA
    Kirsten, Evandro
    Inocencio, Leonardo Campos
    Veronez, Mauricio Roberto
    da Silveira, Luiz Gonzaga, Jr.
    Bordin, Fabiane
    Marson, Fernando Pinho
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 9214 - 9217
  • [30] 3-D scene data recovery using omnidirectional multibaseline stereo
    Kang, SB
    Szeliski, R
    1996 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1996, : 364 - 370