Cloud-Based Moving Object Detection for Mobile Devices

被引：0
|
作者：
Li, Ruoqiao [1 ]
Xie, Xi [1 ]
Wang, Pu [1 ]
Jin, Cong [1 ]
机构：
[1] Commun Univ China, Informat Sch, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2017 20TH CONFERENCE ON INNOVATIONS IN CLOUDS, INTERNET AND NETWORKS (ICIN) | 2017年
关键词：
cloud computing; moving object detection; Vibe;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Inspired by significant progress in cloud computing technology, a range of applications are increasingly being offered to customers based on cloud servers. In this paper, we design a moving object detection system that enables clients to forward video captured on mobile devices to a server in the cloud. Within the cloud, the video begins to be processed with the moving object in the video detected by the cloud sever. This system enables utilization of the computing ability of the cloud platform and avoids having to rely on the limited processing capacity of mobile devices. As a result, this architecture significantly expands the scope of application for moving object detection.
引用
收藏
页码：100 / 102
页数：3
相关论文
共 50 条
  • [41] SECURITY ASPECTS OF CLOUD-BASED MOBILE LEARNING
    Velev, D. G.
    FINANCIAL AND CREDIT ACTIVITY-PROBLEMS OF THEORY AND PRACTICE, 2014, 2 (17): : 240 - 251
  • [42] A Cloud-based Mobile Anger Prediction Model
    Yu, Yuan-Chih
    PROCEEDINGS 2015 18TH INTERNATIONAL CONFERENCE ON NETWORK-BASED INFORMATION SYSTEMS (NBIS 2015), 2015, : 199 - 205
  • [43] Cloud-based Mobile System for Biometrics Authentication
    Omri, F.
    Foufou, S.
    Hamila, R.
    Jarraya, M.
    2013 13TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS (ITST), 2013, : 325 - 330
  • [44] Moving Object Detection in Omnidirectional Vision-based Mobile Robot
    Oh, Chi-Min
    Lee, Yang-Cheal
    Kim, Dae-Young
    Lee, Chil-Woo
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 4232 - 4235
  • [45] Cloud-Based Video Surveillance System Using EFD-GMM for Object Detection
    Li, Ce
    Su, Jianchen
    Zhang, Baochang
    CLOUD COMPUTING AND SECURITY, ICCCS 2016, PT I, 2016, 10039 : 261 - 272
  • [46] Semantic Point Cloud-Based Adaptive Multiple Object Detection and Tracking for Autonomous Vehicles
    Kim, Soyeong
    Ha, Jinsu
    Jo, Kichun
    IEEE ACCESS, 2021, 9 : 157550 - 157562
  • [47] A DNN-Based Object Detection System on Mobile Cloud Computing
    Qi, Buren
    Wu, Mengfei
    Zhang, Lin
    2017 17TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2017,
  • [48] S-CMA: Sporadic Cloud-based Mobile Augmentation supported by an Ad-hoc Cluster of Moving Handheld Devices and a Virtualization Layer
    Ordonez-Morales, Esteban F.
    Blanco-Fernandez, Yolanda
    Bravo-Torres, Jack F.
    Lopez-Nores, Martin
    Saians-Vazquez, Victor
    Pazos-Arias, Jose J.
    FIFTH INTERNATIONAL CONFERENCE ON THE INNOVATIVE COMPUTING TECHNOLOGY (INTECH 2015), 2015, : 152 - 157
  • [49] A new method of Cloud-based Computation Model for Mobile Devices : Energy Consumption Optimization in Mobile-to-Mobile Computation Offloading
    Jamali, Hossein
    Karimi, Abbas
    Haghighizadeh, Mehdi
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND BROADBAND NETWORKING (ICCBN 2018), 2018, : 32 - 37
  • [50] Enhanced Forensic Process for Improving Mobile Cloud Traceability in Cloud-Based Mobile Applications
    Sharma, Puneet
    Arora, Deepak
    Sakthivel, T.
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 907 - 917
12345