Robust automatic camera pointing for airborne surveillance

被引:0
|
作者
Dwyer, D [1 ]
Wren, L [1 ]
Thornton, J [1 ]
Bonsor, N [1 ]
机构
[1] Octed Ltd, Western Ctr, Bracknell RG12 1RW, Berks, England
关键词
camera fixation; gaze control; scene motion; tracking; airborne surveillance;
D O I
10.1117/12.479307
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Airborne electro-optic surveillance from a moving platform currently requires regular interaction from a trained operator. Even simple tasks such as fixating on a static point on the ground can demand constant adjustment of the camera orientation to compensate for platform motion. In order to free up operator time for other tasks such as navigation and communication with ground assets, an automatic gaze control system is needed. This paper describes such a system, based purely on tracking points within the video image. A number of scene points are automatically selected and their inter-frame motion tracked. The scene motion is then estimated using a model of a planar projective transform. For reliable and accurate camera pointing, the modelling of the scene motion must be robust to common problems such as scene point obscuration, objects moving independently within the scene and image noise. This paper details a COTS based system for automatic camera fixation and describes ways of preventing objects moving in the scene or poor motion estimates from corrupting the scene motion model.
引用
收藏
页码:184 / 191
页数:8
相关论文
共 50 条
  • [31] Automatic and robust external camera calibration for high accuracy mobile mapping
    Goeman, Werner
    Douterloigne, Koen
    Bogaert, Peter
    Pires, Rui
    Gautama, Sidharta
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXXV, 2012, 8499
  • [32] Automatic camera selection and fusion for outdoor surveillance under changing weather conditions
    Snidaro, L
    Niu, R
    Varshney, R
    Foresti, GL
    IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS, 2003, : 364 - 369
  • [33] Automatic self-calibration of expressway surveillance camera under dynamic conditions
    Wang, L. (lfwang@nlpr.ia.ac.cn), 1600, Institute of Computing Technology (25):
  • [34] Airborne video surveillance
    Gilmore, JF
    Garren, DA
    AUTOMATIC TARGET RECOGNITION VIII, 1998, 3371 : 2 - 10
  • [35] Microwaves in Airborne Surveillance
    Christopher, S.
    DEFENCE SCIENCE JOURNAL, 2013, 63 (02) : 138 - 144
  • [36] Automatic Point Matching and Robust Fundamental Matrix Estimation for Hybrid Camera Scenarios
    Bastanlar, Yalin
    Temizel, Alptekin
    Yardimci, Yasemin
    2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2, 2009, : 439 - +
  • [37] System for Automatic Camera Calibration Robust Against Blur and Lighting Conditions Changes
    Pastarmov, Yulian
    COMPUTER SYSTEMS AND TECHNOLOGIES, COMPSYSTECH'16, 2016, : 167 - 174
  • [38] Automatic and Robust Single-Camera Specular Highlight Removal in Cardiac Images
    Alsaleh, Samar M.
    Aviles, Angelica I.
    Sobrevilla, Pilar
    Casals, Alicia
    Hahn, James K.
    2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 675 - 678
  • [39] AUTOMATIC SEAGRASS BANQUETTES DETECTION FROM SURVEILLANCE CAMERA IMAGES WITH DETECTRON2
    Sabato, Gaetano
    Scardino, Giovanni
    Kushabaha, Alok
    Chirivi, Marco
    Luparelli, Antonio
    Scicchitano, Giovanni
    GEOGRAFIA FISICA E DINAMICA QUATERNARIA, 2022, 45 (02):
  • [40] Intelligent Object Tracking with an Automatic Image Zoom Algorithm for a Camera Sensing Surveillance System
    Hsia, Shih-Chang
    Wang, Szu-Hong
    Wei, Chung-Mao
    Chang, Chuan-Yu
    SENSORS, 2022, 22 (22)