Real-Time On-Demand Motion Video Change Detection in the Sensor Web Environment

被引:10
|
作者
Chen, Zeqiang [1 ,2 ]
Di, Liping [1 ]
Yu, Genong [1 ]
Chen, Nengcheng [2 ]
机构
[1] George Mason Univ, Ctr Spatial Informat Sci & Syst, Fairfax, VA 22032 USA
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, HuBei, Peoples R China
来源
COMPUTER JOURNAL | 2011年 / 54卷 / 12期
关键词
Sensor Observation Service; Web Processing Service; video change detection; Sensor Web; SCENE CHANGE DETECTION;
D O I
10.1093/comjnl/bxr066
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Detecting motion-based video change, such as different types of motion video or applications using different change detection algorithms in a Web system, is difficult. This paper designs and implements architecture for a real-time or near real-time on-demand motion video change detection system using the Sensor Observation Service (SOS) and the Web Processing Service (WPS) in the Sensor Web environment. Real-time or near real-time includes sensors that obtain motion video data, SOS provides motion video data to WPS and WPS processes this data. Three solution methods are introduced: the GetObservation operation of SOS by transaction, dynamical interaction between SOS and WPS, and WPS real-time or near real-time processing. On-demand means that a developer can choose different motion video change detection algorithms under different applications or different conditions. For this purpose, a flexible, standards-based and service-oriented WPS architecture is designed, which consists of three layers: the WPS interface layer, the field interface layer and the implementation layer. To test the proposed approach, a video change detection case of monitoring a road situation is shown, which was a demonstration for Open Geospatial Consortium Web Service phase 7. The results demonstrate that the proposed approach is feasible.
引用
收藏
页码:2000 / 2016
页数:17
相关论文
共 50 条
  • [41] Real-time automatic sea-floor change detection from video
    Lebart, K
    Trucco, E
    Lane, DM
    OCEANS 2000 MTS/IEEE - WHERE MARINE SCIENCE AND TECHNOLOGY MEET, VOLS 1-3, CONFERENCE PROCEEDINGS, 2000, : 1337 - 1343
  • [42] Real-Time Change Detection At the Edge
    Gadiraju, Krishna Karthik
    Chen, Zexi
    Ramachandra, Bharathkumar
    Vatsavai, Ranga Raju
    2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 776 - 781
  • [43] Real-time recursive motion segmentation of video data
    Wittebrood, R
    de Haan, G
    ICCE: 2001 INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, DIGEST OF TECHNICAL PAPERS, 2001, : 288 - 289
  • [44] Histograms of Motion Gradients for Real-time Video Classification
    Duta, Ionut C.
    Uijlings, Jasper R. R.
    Nguyen, Tuan A.
    Aizawa, Kiyoharu
    Hauptmann, Alexander G.
    Ionescu, Bogdan
    Sebe, Nicu
    2016 14TH INTERNATIONAL WORKSHOP ON CONTENT-BASED MULTIMEDIA INDEXING (CBMI), 2016,
  • [45] A Real-time scheduling algorithm for on-demand wireless XML data broadcasting
    Hu, Wenbin
    Qiu, Zhenyu
    Wang, Huan
    Yan, Liping
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2016, 68 : 151 - 163
  • [46] The real-time on-demand bus routing problem: The cost of dynamic requests
    Melis, Lissa
    Sorensen, Kenneth
    COMPUTERS & OPERATIONS RESEARCH, 2022, 147
  • [47] Wireless real-time on-demand data broadcast scheduling with dual deadlines
    Wu, X
    Lee, VCS
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2005, 65 (06) : 714 - 728
  • [48] Real-time Ad hoc on-demand distance vector routing protocol
    Zhou, Man-Yuan
    Zhou, Li-Wei
    Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China, 2007, 36 (06): : 1300 - 1303
  • [49] Real-time Routing and Scheduling of On-demand Autonomous Customized Bus Systems
    Guo, Rongge
    Liu, Xiaoyu
    Bhatnagar, Saumya
    Vallati, Mauro
    2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 1536 - 1541
  • [50] Scheduling Real-time Multi-item Requests in On-demand Broadcast
    Chen, Jun
    Lee, Victor C. S.
    Ng, Joseph Kee-Yin
    RTCSA 2008: 14TH IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS - PROCEEDINGS, 2008, : 207 - +