A Real-time Approach for Autonomous Detection and Tracking of Moving Objects from UAV

被引：0
|
作者：
Sadeghi-Tehran, Pouria [1 ]
Clarke, Christopher [1 ]
Angelov, Plamen [1 ]
机构：
[1] Univ Lancaster, Sch Comp & Commun, Intelligent Syst Lab, Data Sci Grp, Lancaster LA1 4YW, England
来源：
2014 IEEE SYMPOSIUM ON EVOLVING AND AUTONOMOUS LEARNING SYSTEMS (EALS) | 2014年
关键词：
autonomous object detection; mobile visual surveillance platform; UAV;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A new approach to autonomously detect and track moving objects in a video captured by a moving camera from a UAV in real-time is proposed in this paper. The introduced approach replaces the need for a human operator to perform video analytics by autonomously detecting moving objects and clustering them for tracking purposes. The effectiveness of the introduced approach is tested on the footage taken from a real UAV and the evaluation results are demonstrated in this paper.
引用
收藏
页码：43 / 49
页数：7
相关论文
共 50 条
  • [21] Real-time detection of moving objects in a dynamic scene from moving robotic vehicles
    Talukder, A
    Goldberg, S
    Matthies, L
    Ansar, A
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 1308 - 1313
  • [22] Real-Time Pose Detection and Tracking of Hundreds of Objects
    Pauwels, Karl
    Rubio, Leonardo
    Ros, Eduardo
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 26 (12) : 2200 - 2214
  • [23] Real-time multiple vehicle detection and tracking from a moving vehicle
    Betke, M
    Haritaoglu, E
    Davis, LS
    MACHINE VISION AND APPLICATIONS, 2000, 12 (02) : 69 - 83
  • [24] Real-time multiple vehicle detection and tracking from a moving vehicle
    Margrit Betke
    Esin Haritaoglu
    Larry S. Davis
    Machine Vision and Applications, 2000, 12 : 69 - 83
  • [25] Detection, Segmentation, and Tracking of Moving Objects in UAV Videos
    Teutsch, Michael
    Krueger, Wolfgang
    2012 IEEE NINTH INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL-BASED SURVEILLANCE (AVSS), 2012, : 313 - 318
  • [26] Real-time Detection, Tracking, and Classification of Moving and Stationary Objects using Multiple Fisheye Images
    Baek, Iljoo
    Davies, Albert
    Yan, Geng
    Rajkumar, Ragunathan
    2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2018, : 447 - 452
  • [27] MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects
    Runz, Martin
    Buffier, Maud
    Agapito, Lourdes
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY (ISMAR), 2018, : 10 - 20
  • [28] Design of a real-time tracking system for fast-moving objects
    Naval Head Quarters, New Delhi, India
    IETE J Res, 5 (359-369):
  • [29] Design of a real-time tracking system for fast-moving objects
    Rastogi, AK
    Chatterji, BN
    Ray, AK
    IETE JOURNAL OF RESEARCH, 1997, 43 (05) : 359 - 369
  • [30] Real-time tracking and measuring of moving objects based on binocular vision
    Zhu, Kun
    Yang, Tang-Wen
    Ruan, Qiu-Qi
    Wang, Hong-Bo
    Han, Jian-Da
    Jiqiren/Robot, 2009, 31 (04): : 327 - 334
12345