Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 53, Issue 12, 121502(2016)

Adaptive Object Tracking Based on Hierarchical Convolution Features

Mao Ning*, Yang Dedong, Yang Fucai, and Cai Yuzhu
Author Affiliations
  • [in Chinese]
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (0)
    Equations (0)
    References (22)
    Cited By (5)
    Tools
    Paper Information
    Topics
    Figures & Tables(0)
    Tools

    Get Citation

    Copy Citation Text

    Mao Ning, Yang Dedong, Yang Fucai, Cai Yuzhu. Adaptive Object Tracking Based on Hierarchical Convolution Features[J]. Laser & Optoelectronics Progress, 2016, 53(12): 121502

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Aug. 17, 2016

    Accepted: --

    Published Online: Dec. 14, 2016

    The Author Email: Mao Ning (maon316@163.com)

    DOI:10.3788/lop53.121502

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology