Applications and Challenges in Video Surveillance via Drone: A Brief Survey

被引:0
作者
Dilshad, Naqqash [1 ]
Hwang, JaeYoung [1 ]
Song, JaeSeung [1 ]
Sung, NakMyoung [2 ]
机构
[1] Sejong Univ, Dept Informat Secur, Seoul, South Korea
[2] Korea Elect Technol Inst, Autonomous IoT Res Ctr, Gyeonggi Do, South Korea
来源
11TH INTERNATIONAL CONFERENCE ON ICT CONVERGENCE: DATA, NETWORK, AND AI IN THE AGE OF UNTACT (ICTC 2020) | 2020年
关键词
UAV; 5G-IoT; AI; Video Surveillance; Object Detection; Activity Recognition; Video Summarization;
D O I
10.1109/ictc49870.2020.9289536
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Our society is moving quickly towards smart homes and smart cities, requiring more and more deployment of Internet of Things (IoT) devices. To achieve smart urbanization, continuous surveillance is necessary. Research about video surveillance via Closed-Circuit Television (CCTV) cameras is in play for decades but poses different problems, i.e., limited area coverage, no location sharing, and tracking capabilities. On the other hand, vision sensors mounted on drones are more scalable and flexible with more comprehensive surveillance coverage. But at the same time, drones also encounter several challenges, such as limited processing and power resources, trembling camera effects in the video feed, disturbance in transmission signals, etc. Drones surveillance lacks the researcher's attentiveness, and therefore, we collect the related literature and confer their practical viewpoint broadly. This article focuses on video surveillance using drones in object detection and tracking, video summarization, persistent monitoring of the target, search and rescue operation in a hostile environment, traffic management in smart cities, and disaster management in an apocalyptic situation. This brief survey sheds light on the research gaps and profound insights of the methods used in the mentioned articles by opening up future research tracks for the Computer Vision (CV) enthusiasts using Unmanned Aerial Vehicles (UAV).
引用
收藏
页码:728 / 732
页数:5
相关论文
共 50 条
  • [31] Enhancing Nighttime Surveillance Video via Gradient Fusion
    Li, Wenbo
    Sun, Xiaoyan
    Wu, Feng
    2015 VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2015,
  • [32] Abandoned Object Detection in Video-Surveillance: Survey and Comparison
    Luna, Elena
    Carlos San Miguel, Juan
    Ortego, Diego
    Maria Martinez, Jose
    SENSORS, 2018, 18 (12)
  • [33] Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey
    Zhang, Xuguang
    Yu, Qinan
    Yu, Hui
    IEEE ACCESS, 2018, 6 : 66816 - 66830
  • [34] A survey of video processing techniques for traffic applications
    Kastrinaki, V
    Zervakis, M
    Kalaitzakis, K
    IMAGE AND VISION COMPUTING, 2003, 21 (04) : 359 - 381
  • [35] Video surveillance in smart cities: current status, challenges & future directions
    Sharma H.
    Kanwal N.
    Multimedia Tools and Applications, 2025, 84 (16) : 15787 - 15832
  • [36] Super-resolution video generation algorithm for surveillance applications
    Pais, A. R.
    D'Souza, J.
    Reddy, R. M.
    IMAGING SCIENCE JOURNAL, 2014, 62 (03) : 139 - 148
  • [37] A Low Power Smart Camera for Video Surveillance and Forensic Applications
    Lecca, Michela
    Zou, Yu
    Gottardi, Massimo
    Sola Zurriaga, Susana
    Diego Orozco, Jose Luis
    2017 INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC), 2017, : 626 - 631
  • [38] Unsupervised detection and tracking of moving objects for video surveillance applications
    Elafi, Issam
    Jedra, Mohamed
    Zahid, Noureddine
    PATTERN RECOGNITION LETTERS, 2016, 84 : 70 - 77
  • [39] A content based video retrieval method for surveillance and forensic applications
    Vadakkeveedu, Kalyan
    Xu, Peng
    Fernandes, Ronald
    Mayer, Richard J.
    INTELLIGENT COMPUTING: THEORY AND APPLICATIONS V, 2007, 6560
  • [40] A Multi-layer Scene Model for Video Surveillance Applications
    Huang, Chung-Hsien
    Wu, Ruei-Cheng
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING-PCM 2010, PT I, 2010, 6297 : 68 - 79