DONG Lihong, WANG Jie, SHE Xiangyang. Drill counting method based on improved Camshift algorithm[J]. Journal of Mine Automation, 2015, 41(1): 71-76. DOI: 10.13272/j.issn.1671-251x.2015.01.018
Citation: DONG Lihong, WANG Jie, SHE Xiangyang. Drill counting method based on improved Camshift algorithm[J]. Journal of Mine Automation, 2015, 41(1): 71-76. DOI: 10.13272/j.issn.1671-251x.2015.01.018

Drill counting method based on improved Camshift algorithm

More Information
  • In view of problem that it is easy to produce interference between objects with the similar colors while using traditional Camshift algorithm for drill tracking, a drill counting method based on improved Camshift algorithm was proposed. Improved Camshift algorithm was used to capture drill targets real timely, and then drill counting was realized by setting anchor and determining time interval. The improved Camshift algorithm uses template matching method to locate tracking target, intelligently selects appropriate method to extract color histogram, meanwhile introduces particle filters to get exact location of the tracking target in the next frame by combining texture features through certain mechanisms. Experimental results show that the improved algorithm solves the interference problem of similar colors, and is still able to accurately track the target in conditions of partial cover, consequently achieves accurate drill counting.
  • Related Articles

    [1]LIU Yi, PANG Dawei, TIAN Yu. Multi object personnel detection and dynamic tracking method based on improved KCF[J]. Journal of Mine Automation, 2023, 49(11): 129-137. DOI: 10.13272/j.issn.1671-251x.2023080015
    [2]MU Qi, HAN Jiajia, ZHANG Han, LI Zhanli. A scale-adaptive target tracking method for coal mine underground based on cloud-edge collaboration[J]. Journal of Mine Automation, 2023, 49(4): 50-61. DOI: 10.13272/j.issn.1671-251x.2022100093
    [3]ZHOU Mengran, LI Xuesong, ZHU Ziwei, HUANG Kaiwen. A joint algorithm of multi-target detection and tracking for underground miners[J]. Journal of Mine Automation, 2022, 48(10): 40-47. DOI: 10.13272/j.issn.1671-251x.2022060040
    [4]ZHANG Xuhui, YAN Jianxing, ZHANG Chao, WAN Jicheng, WANG Lixin, HU Chengjun, WANG Li, WANG Dong. Coal block abnormal behavior identification based on improved YOLOv5s + DeepSORT[J]. Journal of Mine Automation, 2022, 48(6): 77-86, 117. DOI: 10.13272/j.issn.1671-251x.17915
    [5]HAO Jianhua. Research of personnel tracking algorithm for coal mine substation based on CamShift and particle filter[J]. Journal of Mine Automation, 2015, 41(11): 35-38. DOI: 10.13272/j.issn.1671-251x.2015.11.009
    [6]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
    [7]WANG Hai-quan, LIAO Lei, LI Hong-jun, WANG Dong-yu. Design of real-time control system of DC motor based on xPC Target[J]. Journal of Mine Automation, 2013, 39(5): 76-79.
    [8]ZHAI Nai-jiang, LI Cheng-dong. Personnel Tracking Method of Coal Preparation Plant Based on Improved MeanShift Algorithm[J]. Journal of Mine Automation, 2012, 38(2): 32-35.
    [9]NI Qi, YIN Gang. Design of Moving Object Tracking System Based on Background Subtraction Algorithm and CAMShift Algorithm and Its Implementatio[J]. Journal of Mine Automation, 2010, 36(12): 30-32.
    [10]LI Jin-liang, SUN You-xia, BAO Ji-hua, ZHANG Yuan, JIANG Xue. Research of Target Tracking Control of Rescue Robot[J]. Journal of Mine Automation, 2009, 35(12): 22-25.

Catalog

    Article Metrics

    Article views (69) PDF downloads (10) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return