Design of Human Tracking Algorithm Based on Improved Camshift

被引：0
|
作者：
Huang, Yihu [1 ]
Ma, Jixiang [1 ]
Han, Xiaodong [2 ]
Hu, Ning [3 ]
Jia, Ximei [4 ]
机构：
[1] Qingdao Univ Sci & Technol, Coll Automat & Electron Engn, Qingdao, Peoples R China
[2] Sinopec Pipeline Storage & Transportat Co, Weifang Branch, Weifang, Peoples R China
[3] Coal Ind Bur Laiwu, Laiwu, Peoples R China
[4] Qingdao Univ Sci & Technol, Coll Electromech Engn, Qingdao, Peoples R China
来源：
ADVANCED POLYMER PROCESSING III | 2013年 / 561卷
基金：
中国国家自然科学基金;
关键词：
Camshift algorithm; target tracking; back-projection; binarization;
D O I：
10.4028/www.scientific.net/KEM.561.677
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Considering the problem of added background interference when initial target region is chose in Camshift tracking algorithm. This paper proposes a human tracking algorithm based on improved Camshift. The algorithm uses weight to determine the type of pixels in the back-projection, and then convert the back-projection into binary image, so as to improve the input accuracy of Camshift processing function. According to the human body size information, the algorithm appropriately improves the ratio of major axis and minor axis of search window, to optimize the output size of Camshift processing function. The contrast experiment proves the algorithm obviously improve accuracy and robustness of tracking effect.
引用
收藏
页码：677 / +
页数：2
相关论文
共 50 条
  • [1] Improved Camshift Algorithm Based on Human Tracking System
    Wu, Dongmei
    Liu, Qiurui
    Liu, Xiaopei
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL AUTOMATION (ICITIA 2015), 2015, : 435 - 440
  • [2] Improved Target Tracking Algorithm Based on Camshift
    Xiu, Chunbo
    Su, Xuemiao
    Pan, Xiaonan
    [J]. PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 4449 - 4454
  • [3] Eye Tracking Based on Improved CamShift Algorithm
    Huang, Yuangang
    Sang, Nan
    Hao, Zongbo
    Jiang, Wei
    [J]. 2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2013, : 24 - 29
  • [4] Face tracking algorithm based on improved Camshift and surf algorithm
    Huang, Danchi
    Li, Lijuan
    [J]. Journal of Computational Information Systems, 2015, 11 (03): : 893 - 901
  • [5] An improved motion pedestrian tracking algorithm based on CamShift
    Zou, Chao
    Yang, GuoPing
    [J]. PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT CONTROL AND ARTIFICIAL INTELLIGENCE (RICAI 2019), 2019, : 401 - 406
  • [6] IMPROVED CAMSHIFT TRACKING ALGORITHM BASED ON MOTION DETECTION
    Qiu, Yu-Hui
    Zhang, Jian-Wei
    Lin, Guang
    Li, Yong-Hui
    Gao, Dong-Fa
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013, : 937 - 942
  • [7] A Target Tracking Method Based on Improved Camshift Algorithm
    Nie, Jisheng
    Guo, Xu
    [J]. PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 254 - 258
  • [8] An Improved Camshift Tracking Algorithm Based on LiDAR Sensor
    Lv, Yong
    Zhu, Hairong
    [J]. JOURNAL OF SENSORS, 2021, 2021
  • [9] Research of the improved Camshift tracking algorithm
    Liu, Xia
    Chu, Hongxia
    Li, Pingjun
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 968 - +
  • [10] Improved object tracking with camshift algorithm
    Ould-Dris, Nouar
    Ganoun, Ali
    Canals, Raphael
    [J]. 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13, 2006, : 1905 - 1908
12345