Automated video protection, monitoring & detection

被引:10
|
作者
Lipton, AJ [1 ]
Heartwell, CH [1 ]
Haering, N [1 ]
Madden, D [1 ]
机构
[1] Object Video, Reston, VA 20191 USA
关键词
D O I
10.1109/MAES.2003.1201453
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The latest generation of computer vision technology is revolutionizing concepts, applications, and products in video surveillance and CCTV. This is of prime relevance to security for large outdoor facilities such as commercial airfields, refineries, power plants, and office/industrial campuses. Most airfields, for example, have open (unfenced) perimeters, high volume heterogeneous traffic, are easily accessed on foot or by water, and exist in areas where regulations providing a safety buffer are difficult to legislate or enforce. And all airfields require 24/7 outdoor monitoring - snow, fog, rain, or shine. Likewise, most high-value facilities appealing to criminals and terrorists are in close proximity to public areas (roads, residences, city, etc.). The appeal of automated real-time surveillance is obvious - maximizing efficiency and effectiveness of security personnel and resources while increasing the probability of preventing a serious security breach. Computer vision based solutions have the potential for very discriminating detection and very low false alarms. The bottom line is that applied computer vision has the potential for the greatest return on investment (ROI), both short-term and long-term.
引用
收藏
页码:3 / 18
页数:16
相关论文
共 50 条
  • [21] Automated Fall Detection on Privacy-Enhanced Video
    Edgcomb, Alex
    Vahid, Frank
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 252 - 255
  • [22] A video text detection system based on automated training
    Li, HP
    Doermann, D
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS, 2000, : 223 - 226
  • [23] A Survey of Video Datasets for Anomaly Detection in Automated Surveillance
    Patil, N.
    Biswas, Prabir Kumar
    2016 SIXTH INTERNATIONAL SYMPOSIUM ON EMBEDDED COMPUTING AND SYSTEM DESIGN (ISED 2016), 2016, : 43 - 48
  • [24] Automated Casing Event Detection in Persistent Video Surveillance
    Schmitt, Daniel T.
    Kurkowski, Stuart H.
    Mendenhall, Michael J.
    ISI: 2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS, 2009, : 143 - 148
  • [25] ODIN: Automated Drift Detection and Recovery in Video Analytics
    Suprem, Abhijit
    Arulraj, Joy
    Pu, Calton
    Ferreira, Joao
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2020, 13 (11): : 2453 - 2465
  • [26] Automated detection of lameness using activity monitoring
    Paudyal, S.
    Solano, G.
    Melendez, P.
    Roman-Muniz, I.
    Callan, R.
    Maunsell, F.
    Velez, J.
    Pinedo, P.
    JOURNAL OF DAIRY SCIENCE, 2019, 102 : 413 - 413
  • [27] Automated Ingestion Detection for a Health Monitoring System
    Walker, William P.
    Bhatia, Dinesh K.
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2014, 18 (02) : 682 - 692
  • [28] Intelligent Video Monitoring for Anomalous Event Detection
    Conde, Ivan Gomez
    Cecchi, David Olivieri
    Sobrino, Xose Anton Vila
    Rodriguez, Angel Orosa
    AMBIENT INTELLIGENCE: SOFTWARE AND APPLICATIONS, 2011, 92 : 101 - 108
  • [29] Moving object detection for video monitoring systems
    Du Yuren
    Zhou Aijun
    Yuan Feng
    ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL II, 2007, : 814 - 817
  • [30] Automated, electronic monitoring for early detection of sepsis
    S Rauch
    M Fischer
    C Martin
    A Sablotzki
    Critical Care, 17 (Suppl 2):