Pig target tracking algorithm based on multi-channel color feature fusion

被引：10
|
作者：
Sun, Longqing [1 ]
Chen, Shuaihua [1 ]
Liu, Ting [1 ]
Liu, Chunhong [1 ]
Liu, Yan [1 ]
机构：
[1] China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
来源：
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING | 2020年 / 13卷 / 03期
基金：
国家高技术研究发展计划(863计划);
关键词：
pig tracking; color feature; correlation filter; ellipse fitting; OBJECT TRACKING;
D O I：
10.25165/j.ijabe.20201303.5346
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
In the process of tracking the target of the pig, with the change of the size of the tracking target in the video image, the estimated tracking target scale cannot be adaptively updated in real-time, resulting in the low accuracy of the tracking target. In this study, a multi-channel color feature adaptive fusion algorithm was proposed, and the target scale of the pig was updated in real-time by utilizing the contour information of the target pig. Experiments show that the proposed algorithm had a distance precision of 89.7% and an overlap precision of 87.5%, and the average running speed of this algorithm was 50.1 fps. The robustness of the proposed algorithm in tracking target deformation and scale variation were significantly improved, which satisfies the accuracy and real-time requirements of pig target tracking.
引用
收藏
页码：180 / 185
页数：6
相关论文
共 50 条
  • [1] Multi-channel video target tracking algorithm based on feature constraint and optical flow field model
    Zhang Bo
    Long Hui
    Liu Gang
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2021, 36 (11) : 1554 - 1564
  • [2] Single target tracking algorithm based on multi-feature fusion
    Yue, Yang
    Wang, Guogang
    Liu, Yunpeng
    AOPC 2020: OPTICAL SENSING AND IMAGING TECHNOLOGY, 2020, 11567
  • [3] Multi-feature fusion target tracking algorithm
    Liang Hui-hui
    He Qiu-sheng
    Jia Wei-zhen
    Zhang Wei-feng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2020, 35 (06) : 583 - 594
  • [4] UAV multi-target tracking algorithm based on attention feature fusion
    Liu F.
    Pu Z.-H.
    Zhang S.-C.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (02): : 345 - 353
  • [5] Research on target tracking algorithm based on multi -layer convolution feature fusion
    Xiao, Kehao
    Hao, Zhou
    2022 INTERNATIONAL CONFERENCE ON INDUSTRIAL AUTOMATION, ROBOTICS AND CONTROL ENGINEERING, IARCE, 2022, : 1 - 8
  • [6] Multi-feature combined target tracking algorithm based on channel clipping
    Xie Y.
    Chen Y.
    1600, Chinese Institute of Electronics (42): : 764 - 772
  • [7] Adaptive Correlation Filtering Algorithm for Video Target Tracking based on Multi Feature Fusion
    Fan, Yifei
    Zhao, Zhouding
    2019 ELEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI 2019), 2019, : 7 - 12
  • [8] Research on target tracking algorithm based on multi-layer convolution feature fusion
    Information Institute of Yunnan University, Kunming, China
    Proc. - Int. Conf. Ind. Autom., Robot. Control Eng., IARCE, (1-8):
  • [9] Adaptive multi-scale color feature target tracking algorithm
    Li Xiao-yun
    He Qiu-sheng
    Zhang Wei-feng
    Liang Hui-hui
    Chen Wei
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2019, 34 (03) : 291 - 301
  • [10] A TARGET TRACKING ALGORITHM BASED ON ADAPTIVE MULTIPLE FEATURE FUSION
    Yin, Hongpeng
    Chai, Yi
    Yang, Simon X.
    Chiu, David K. Y.
    ICINCO 2009: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 1: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2009, : 5 - +
12345