Surveillance system for multiple moving objects

被引:0
|
作者
Matsuka D. [1 ]
Mimura M. [2 ]
机构
[1] Research and Development Group, Hitachi Ltd., 832-2, Horiguchi, Hitachinaka, Ibaraki
[2] Defence Systems Business Unit, Hitachi, Ltd., 292, Yoshida-cho, Totsuka-ku, Yokohama, Kanagawa
关键词
Galvanometer scanner; Multiple moving objects surveillance; UAV; Visual servoing;
D O I
10.1541/ieejias.139.908
中图分类号
学科分类号
摘要
To prepare for terrorist and/or criminal attacks using unmanned aerial vehicles (UAVs), we developed a Galvano Camera System. This system, which detects suspicious UAVs, is based on the high-speed and precise positioning technology of galvanometer scanners. The proposed system consists of galvanometer scanners, a zoom lens, a CMOS camera, an imaging processor, and a monitor. It is used with other position measurement sensors such as RADAR. The system changes the deflection angles of the galvano-mirrors, which are attached to the tip of the swaying shaft based on the location of the target provided by other sensors. Three targets are observed using proposed imaging process and changing angular process, alternately, to acquire multiple images that include the targets. The imaging processor makes three movies of each target, the monitor divides the screen, and displays these three movies on the same screen. The proposed system can simultaneously observe multiple moving objects, using the high response feature of the galvanometer scanners, and display objects on a single monitor. In addition, we have proved the effectiveness of the system through field tests. © 2019 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:908 / 915
页数:7
相关论文
共 50 条
  • [31] Detection of moving objects by a digital-signal-processor-based automatic video surveillance system
    Stepanov, D. N.
    PERCEPTION, 2006, 35 : 50 - 51
  • [32] Image processed tracking system of multiple moving objects based on Kalman filter
    Dong-Kyu Kim
    Sang-Bong Kim
    Hak-Kyeong Kim
    KSME International Journal, 2002, 16 : 427 - 435
  • [33] SEGMENTATION AND TRACKING OF STATIC AND MOVING OBJECTS IN VIDEO SURVEILLANCE SCENARIOS
    Gallego, Jaime
    Pardas, Montse
    Landabaso, Jose-Luis
    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, : 2716 - 2719
  • [34] Robust Detection and Tracking of Moving Objects in Traffic Video Surveillance
    Antic, Borislav
    Castaneda, Jorge Oswaldo Nino
    Culibrk, Dubravko
    Pizurica, Aleksandra
    Crnojevic, Vladimir
    Philips, Wilfried
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS, 2009, 5807 : 494 - +
  • [35] Parallelepipedic Shape Modeling for Moving Objects in Video Surveillance Systems
    Ben Hamida, Amal
    Koubaa, Mohamed
    Ben Amar, Chokri
    Nicolas, Henri
    2014 SCIENCE AND INFORMATION CONFERENCE (SAI), 2014, : 379 - 383
  • [36] Order-Preserving Condensation of Moving Objects in Surveillance Videos
    Hai Thanh Nguyen
    Jung, Seung-Won
    Won, Chee Sun
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2016, 17 (09) : 2408 - 2418
  • [37] Preserving interactions among moving objects in surveillance video synopsis
    Namitha K
    Athi Narayanan
    Multimedia Tools and Applications, 2020, 79 : 32331 - 32360
  • [38] Preserving interactions among moving objects in surveillance video synopsis
    Namitha, K.
    Narayanan, Athi
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (43-44) : 32331 - 32360
  • [39] Detection and Parameters Estimation of Moving Objects via Video Surveillance
    Garvanov, Ivan
    Ivanov, Vladimir
    PROCEEDINGS OF 2019 3RD INTERNATIONAL CONFERENCE ON AUTOMATION, CONTROL AND ROBOTS (ICACR 2019), 2018, : 102 - 106
  • [40] An Effective Method to Determine the Moving Direction of the Objects for Video Surveillance
    Li, Guoqing
    Liu, Bo
    Jiang, Xiujie
    ELECTRONIC INFORMATION AND ELECTRICAL ENGINEERING, 2012, 19 : 107 - 110