Volume 43 Issue 3
Turn off MathJax
Article Contents
Abstract
Related Articles
ZHANG Xiuqin, WANG Rong, ZHANG Yingjun. An improved active shape model for underground face tracking[J]. Journal of Mine Automation, 2017, 43(3): 53-56. DOI: 10.13272/j.issn.1671-251x.2017.03.012
Citation: ZHANG Xiuqin, WANG Rong, ZHANG Yingjun. An improved active shape model for underground face tracking[J]. Journal of Mine Automation, 2017, 43(3): 53-56. DOI: 10.13272/j.issn.1671-251x.2017.03.012
shu

An improved active shape model for underground face tracking

  • 1.

    Department of Information Engineering, Engineering University of the Chinese Armed Police Force, Xi''an 710086, China

  • 2.

    Department of Computer Science and Technology, Taiyuan University of Science a

More Information
    Abstract
  • For low accuracy of face tracking applying active shape model(ASM) in condition of sudden change of illumination and contaminated and covered miner face in underground coal mine, an improved ASM was proposed. Firstly, mirror sample set is formed by definition of mirror image with selected special training sample set. Then, the mirror sample set is processed by logarithmic scale. Finally, related block model is used as ASM learning model for training. The experimental results show that the method can effectively improve accuracy of underground face tracking.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]KAN Lei. Application of active advanced support technology in fully mechanized top-coal caving face with large mining height at Madiliang Coal Mine[J]. Journal of Mine Automation, 2025, 51(6): 44-54. DOI: 10.13272/j.issn.1671-251x.2025030015
    [2]SHENG Wu, WANG Lingzi. A traceability model for upper corner gas in fully mechanized mining faces based on XGBoost-SHAP[J]. Journal of Mine Automation, 2025, 51(6): 21-27, 140. DOI: 10.13272/j.issn.1671-251x.2025060027
    [3]ZHAI Xiaowei, WANG Chen, HAO Le, LI Xintian, HOU Qinyuan, MA Teng. Study on the temperature prediction model of residual coal in goaf based on ACO-KELM[J]. Journal of Mine Automation, 2024, 50(12): 128-135. DOI: 10.13272/j.issn.1671-251x.18226
    [4]CHEN Shun, ZHENG Nanshan, QI Yun, BAN Meng. Application research on Offset Tracking technology in monitoring oflarge surface deformation in coal mine subsidence area[J]. Journal of Mine Automation, 2017, 43(6): 32-37. DOI: 10.13272/j.issn.1671-251x.2017.06.008
    [5]CHENG Deqiang, LIU Jie, GUO Zheng. An algorithm for moving targets tracking in coal mine underground based on layered optical flow[J]. Journal of Mine Automation, 2015, 41(3): 75-79. DOI: 10.13272/j.issn.1671-251x.2015.03.019
    [6]NIU Yumei, CHEN Lichao, PAN Lihu. Facial contour extraction method of underground personnel[J]. Journal of Mine Automation, 2015, 41(1): 53-57. DOI: 10.13272/j.issn.1671-251x.2015.01.014
    [7]LIANG Ke-jing, GUO Jia-hu, LI Peng-peng. Modeling and simulation of HVDC-Light system based on DIgSILENT/PowerFactory[J]. Journal of Mine Automation, 2013, 39(6): 85-90.
    [8]CHEN Feng, GUO Jia-hu, WANG Heng. Modeling Simulation of Double-fed Wind Power Generation System Based on DIgSILENT/PowerFactory[J]. Journal of Mine Automation, 2012, 38(12): 66-70.
    [9]SU Pei-zhao, MA Xiao-ping, AN Feng-shuan, JIAO Xiao-yu. Application of Model Deviation Control in Active Power Factor Correction[J]. Journal of Mine Automation, 2010, 36(8): 85-88.
    [10]ZHOU Xin, MIAO Chang-yun, LI Yan-feng, WU Zhi-gang. Optimization of CS-ACELP Voice Code Algorithm and Its Implementation on DSP[J]. Journal of Mine Automation, 2009, 35(12): 69-72.

  • Cited by

    Periodical cited type(0)

    Other cited types(4)

Catalog

    ZHANG Yingjun
    • 2.

      Department of Computer Science and Technology, Taiyuan University of Science a

    1. On this Site
    2. On Google Scholar
    3. On PubMed
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (43) PDF downloads (10) Cited by(4)
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1374950    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return