GLIMPSE: Continuous, Real-Time Object Recognition on Mobile Devices

被引:2
|
作者
Chen, Tiffany Yu-Han [1 ]
Balakrishnan, Hari [1 ]
Ravindranath, Lenin [2 ]
Bahl, Paramvir [2 ]
机构
[1] MIT CSAIL, Cambridge, MA 02139 USA
[2] Microsoft Res, Bellevue, WA USA
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Glimpse is a continuous, real-time object recognition system for camera-equipped mobile devices. Glimpse captures full-motion video, locates objects of interest, recognizes and labels them, and tracks them from frame to frame for the user. Because the algorithms for object recognition entail significant computation, Glimpse runs them on server machines. When the latency between the server and mobile device is higher than a frame-time, this approach lowers object recognition accuracy. To regain accuracy, Glimpse uses an active cache of video frames on the mobile device. A subset of the frames in the active cache are used to track objects on the mobile, using (stale) hints about objects that arrive from the server from time to time. To reduce network bandwidth usage, Glimpse computes trigger frames to send to the server for recognizing.
引用
收藏
页码:26 / 29
页数:4
相关论文
共 50 条
  • [21] A Real-Time Evolutionary Object Recognition System
    Ebner, Marc
    GENETIC PROGRAMMING, 2009, 5481 : 268 - 279
  • [22] A parallel algorithm for real-time object recognition
    Meribout, M
    Nakanishi, M
    Ogura, T
    PATTERN RECOGNITION, 2002, 35 (09) : 1917 - 1931
  • [23] Real-time 100 object recognition system
    Nayar, SK
    Nene, SA
    Murase, H
    1996 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, PROCEEDINGS, VOLS 1-4, 1996, : 2321 - 2325
  • [24] Real-time Attitude Tracking of Mobile Devices
    Li, You
    Lan, Haiyu
    Zhuang, Yuan
    Zhang, Peng
    Niu, Xiaoji
    El-Sheimy, Naser
    2015 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2015,
  • [25] Mobile Phone-based Real-time Dangerous Object Recognition for the Visually Impaired
    Kim S.
    Rodi H.
    Kalend T.P.A.
    Baik N.
    Shin K.
    IEIE Transactions on Smart Processing and Computing, 2023, 12 (02): : 107 - 111
  • [26] Simple stereo vision system for real-time object recognition for an autonomous mobile robot
    Novak, G
    Bais, A
    Mahlknecht, S
    ICCC 2004: SECOND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL CYBERNETICS, PROCEEDINGS, 2004, : 213 - 216
  • [27] Real-time facial animation on mobile devices
    Weng, Yanlin
    Cao, Chen
    Hou, Qiming
    Zhou, Kun
    GRAPHICAL MODELS, 2014, 76 : 172 - 179
  • [28] Real-time Photorealistic Rendering for Mobile Devices
    Ha, Inwoo
    Ahn, Minsu
    Lee, Hyong-Euk
    2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE), 2014, : 500 - 501
  • [29] Real-Time View Correction for Mobile Devices
    Schops, Thomas
    Oswald, Martin R.
    Speciale, Pablo
    Yang, Shuoran
    Pollefeys, Marc
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2017, 23 (11) : 2455 - 2462
  • [30] Real-time bus information on mobile devices
    Maclean, SD
    Dailey, DJ
    2001 IEEE INTELLIGENT TRANSPORTATION SYSTEMS - PROCEEDINGS, 2001, : 988 - 993