Robust optical axis control of monocular active gazing based on pan-tilt mirrors for high dynamic targets

被引:7
作者
Cao, Ruimin [1 ]
Fu, Jian [1 ]
Yang, Hui [1 ]
Wang, Lihui [1 ,2 ]
Ishikawa, Masatoshi [2 ]
机构
[1] Guangdong Acad Sci, Inst Semicond, Guangzhou 510650, Peoples R China
[2] Univ Tokyo, Informat Technol Ctr, Data Sci Res Div, Tokyo 1138656, Japan
来源
OPTICS EXPRESS | 2021年 / 29卷 / 24期
基金
中国博士后科学基金;
关键词
UNSCENTED KALMAN FILTER; VISION; CAMERA; TRACKING; VIDEO;
D O I
10.1364/OE.439083
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The real-time and stability performance are both crucial for the active vision system (AVS) to gaze the high dynamic targets (HDTs). This study focused on the robust optical axis control mechanism of monocular AVS based on pan-tilt mirrors. We proposed an adaptive selfwindow to accommodate the HDTs within the region of interest. The minimum-envelope-ellipse and unscented-Kalman-filter methods were proposed to compensate and predict the angle of optical axis when the HDTs were blocked. The static and dynamic compensation error rates were less than 1.46% and 2.71%, prediction error rate was less than 13.88%, improving the gazing stability while ensuring real-time performance. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
引用
收藏
页码:40214 / 40230
页数:17
相关论文
共 36 条
  • [1] Ariki Y, 2006, IEEE INT SYM MULTIM, P851
  • [2] Adaptive square-root unscented Kalman filter: An experimental study of hydraulic actuator state estimation
    Asl, Reza Mohammadi
    Hagh, Yashar Shabbouei
    Simani, Silvio
    Handroos, Heikki
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 132 : 670 - 691
  • [3] Utility function generated saccade strategies for robot active vision: a probabilistic approach
    Bhakta, Arindam
    Hollitt, Christopher
    Browne, Will. N.
    Frean, Marcus
    [J]. AUTONOMOUS ROBOTS, 2019, 43 (04) : 947 - 966
  • [4] Bradski GaryR., 1998, Computer vision face tracking for use in a perceptual user interface
  • [5] Cao R., 2020, FRONTIERS OPTICS LAS
  • [6] Vision-Based Object Tracking Using an Optimally Positioned Cluster of Mobile Tracking Stations
    Cashbaugh, Jasmine
    Kitts, Christopher
    [J]. IEEE SYSTEMS JOURNAL, 2018, 12 (02): : 1423 - 1434
  • [7] Stable and Consistent Object Tracking: An Active Vision Approach
    Das, Dibyendu Kumar
    Laha, Mouli
    Majumder, Somajyoti
    Ray, Dipnarayan
    [J]. ADVANCED COMPUTATIONAL AND COMMUNICATION PARADIGMS, VOL 2, 2018, 706 : 299 - 308
  • [8] Real-Time Event-Triggered Object Tracking in the Presence of Model Drift and Occlusion
    Guan, Mingyang
    Wen, Changyun
    Shan, Mao
    Ng, Cheng-Leong
    Zou, Ying
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 66 (03) : 2054 - 2065
  • [9] Active vision for 3D indoor scene reconstruction using a 3D camera on a pan-tilt mechanism
    Hrzica, Mateja
    Cupec, Robert
    Petrovic, Ivan
    [J]. ADVANCED ROBOTICS, 2021, 35 (3-4) : 153 - 167
  • [10] Retrieving the optical transmission matrix of a multimode fiber using the extended Kalman filter
    Huang, Guoqiang
    Wu, Daixuan
    Luo, Jiawei
    Huang, Yin
    Shen, Yuecheng
    [J]. OPTICS EXPRESS, 2020, 28 (07) : 9487 - 9500