咨询与建议

限定检索结果

文献类型

  • 26 篇 会议
  • 22 篇 期刊文献

馆藏范围

  • 48 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 44 篇 工学
    • 28 篇 电气工程
    • 23 篇 计算机科学与技术...
    • 9 篇 控制科学与工程
    • 8 篇 信息与通信工程
    • 6 篇 软件工程
    • 4 篇 机械工程
    • 4 篇 仪器科学与技术
    • 4 篇 电子科学与技术(可...
    • 1 篇 光学工程
    • 1 篇 材料科学与工程(可...
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 测绘科学与技术
    • 1 篇 船舶与海洋工程
  • 12 篇 理学
    • 9 篇 物理学
    • 2 篇 化学
    • 1 篇 数学
    • 1 篇 海洋科学
    • 1 篇 生物学
  • 9 篇 医学
    • 9 篇 临床医学
  • 3 篇 管理学
    • 3 篇 管理科学与工程(可...

主题

  • 48 篇 kernelized corre...
  • 10 篇 visual tracking
  • 10 篇 object tracking
  • 7 篇 scale estimation
  • 5 篇 target tracking
  • 2 篇 model drift
  • 2 篇 feature represen...
  • 2 篇 learning rate ad...
  • 2 篇 kalman filter
  • 2 篇 discriminative s...
  • 2 篇 tracking-learnin...
  • 2 篇 multi-feature fu...
  • 1 篇 global and local...
  • 1 篇 multi-scale supe...
  • 1 篇 object detection
  • 1 篇 low frame rate v...
  • 1 篇 robot
  • 1 篇 deep feature
  • 1 篇 hand tracking
  • 1 篇 track error

机构

  • 2 篇 beijing inst tec...
  • 2 篇 shanghai maritim...
  • 2 篇 beijing jiaotong...
  • 2 篇 beihang univ sch...
  • 2 篇 beijing jiaotong...
  • 2 篇 chinese acad sci...
  • 2 篇 wuhan univ techn...
  • 1 篇 nanjing univ pos...
  • 1 篇 wipro technol ch...
  • 1 篇 shanghai maritim...
  • 1 篇 hohai univ coll ...
  • 1 篇 anhui keli infor...
  • 1 篇 school of comput...
  • 1 篇 beijing informat...
  • 1 篇 chongqing univ c...
  • 1 篇 univ technol bag...
  • 1 篇 flsmidth & co as...
  • 1 篇 loughborough uni...
  • 1 篇 univ missouri de...
  • 1 篇 tsinghua univ de...

作者

  • 2 篇 xing weiwei
  • 2 篇 liu weibin
  • 1 篇 liu xiaoming
  • 1 篇 jiang min
  • 1 篇 zhi yongfeng
  • 1 篇 al-shakarji noor...
  • 1 篇 li zhijun
  • 1 篇 jun sun
  • 1 篇 diao chen
  • 1 篇 zhang chengyao
  • 1 篇 yang qiang
  • 1 篇 zhu zhengyu
  • 1 篇 chen xinqiang
  • 1 篇 liang yuan
  • 1 篇 dousti massoud
  • 1 篇 li yang
  • 1 篇 liu zhenjiang
  • 1 篇 mang rui
  • 1 篇 chen wen-hua
  • 1 篇 zou li

语言

  • 47 篇 英文
检索条件"主题词=Kernelized correlation filter"
48 条 记 录,以下是1-10 订阅
排序:
Robust kernelized correlation filter with scale adaption for real-time single object tracking
收藏 引用
JOURNAL OF REAL-TIME IMAGE PROCESSING 2018年 第3期15卷 583-596页
作者: Li, Ce Liu, Xingchao Su, Xiangbo Zhang, Baochang Beihang Univ Sch Automat Sci & Elect Engn Beijing Peoples R China China Univ Min & Technol Dept Comp Sci Beijing Peoples R China
kernelized correlation filter (KCF) is a kind of efficient method for real-time tracking, but remains being challenged by the drifting problem due to inaccurate localization caused by the scale variation and wrong can... 详细信息
来源: 评论
The Performance Comparison of Different Feature to kernelized correlation filter Tracker  10
The Performance Comparison of Different Feature to Kernelize...
收藏 引用
10th International Conference on Graphics and Image Processing (ICGIP)
作者: Liu, Mengna Diao, Chen Cheng, Xu Chen, Shengyong Tianjin Univ Technol Sch Comp & Engn Tianjin 300384 Peoples R China Tianjin Univ Technol Sch Elect & Elect Engn Tianjin 300384 Peoples R China
Feature extraction plays an important role in the tracking process. However, most attention is paid to the performance of the tracker without considering the sensitivity of feature to the environment. In this paper, t... 详细信息
来源: 评论
Automatic Failure Detection and Correction for Real-Time Object Tracking with kernelized correlation filter
Automatic Failure Detection and Correction for Real-Time Obj...
收藏 引用
IEEE International Conference on Consumer Electronics (ICCE)
作者: Shin, Jungsup Kim, Heegwang Jeong, Dasol Paik, Joonki Chung Ang Univ Image Proc & Intelligent Syst Lab Seoul South Korea
This paper proposes an algorithm that estimates tracking failure and track the target object again. The proposed algorithm consists of three steps: 1) Tracking target object with KCF tracker. 2) Estimating tracking fa... 详细信息
来源: 评论
A Novel Tracker based on the kernelized correlation filter  7
A Novel Tracker based on the Kernelized Correlation Filter
收藏 引用
7th International Conference on Optical and Photonic Engineering (icOPEN)
作者: Chen, Dongxun Jiang, Zhen Wei, Yanxia Shanghai Univ Dept Precis Mech Engn Shanghai Peoples R China Liaocheng Univ Liaocheng Shandong Peoples R China
correlation filter based tracking methods are the core component of most trackers which achieve the excellent performance in term of the accuracy and robustness in visual tracking. However, there are still lots of cha... 详细信息
来源: 评论
Comparison of Object Tracking Methods and Performance Analysis of kernelized correlation filter with Different Appearance Models  29
Comparison of Object Tracking Methods and Performance Analys...
收藏 引用
29th IEEE Conference on Signal Processing and Communications Applications (SIU)
作者: Musaoglu, Elnura Ozturk, Ceyda Nur Bursa Uludag Univ Bilgisayar Muhendisligi Bolumu Bursa Turkey Ozveri Ar Ge Merkezi Ozdilek Ev Tekstil San & Tic Bursa Turkey
Object tracking enables determination of relevant objects in the moving images without the need for object detection in each frame. There are various studies that are based on correlation, deep learning and different ... 详细信息
来源: 评论
Target Tracking Based on Collaborative Learning kernelized correlation filter
Target Tracking Based on Collaborative Learning Kernelized C...
收藏 引用
International Symposium in Sensing and Instrumentation in IoT Era (ISSI)
作者: Sun, Bin Li, Chaofeng Zeng, Liling Sang, Qingbing Jiangnan Univ Sch Internet Things Engn Wuxi 214122 Peoples R China Shanghai Maritime Univ Inst Logist Sci & Engn Shanghai 201306 Peoples R China
In this paper, a tracking algorithm based on collaborative learning kernelized correlation filter is proposed. According to the framework of KCF, two trackers based on HoG and CN are cooperatively trained, and indepen... 详细信息
来源: 评论
A Kalman filter-Based kernelized correlation filter Algorithm for Pose Measurement of a Micro-Robot
收藏 引用
MICROMACHINES 2021年 第7期12卷 774-774页
作者: Zhang, Heng Zhan, Hongwu Zhang, Libin Xu, Fang Ding, Xinbin Zhejiang Univ Technol Mech Engn Coll Hangzhou 310023 Peoples R China
This paper proposes a moving-target tracking algorithm that measures the pose of a micro-robot with high precision and high speed using the Kalman filter-based kernelized correlation filter (K2CF) algorithm. The adapt... 详细信息
来源: 评论
Improved target tracking algorithm based on kernelized correlation filter
收藏 引用
JOURNAL OF ELECTRONIC IMAGING 2019年 第2期28卷 021008-021008页
作者: Liang, Hua Gang Gao, Dong Mei Li, Jiang Wei Pang, Li Qin Changan Univ Elect & Control Engn Dept Xian Shaanxi Peoples R China
We propose an improved object tracking algorithm based on kernelized correlation filter (KCF), which can overcome the drawback of traditional KCF algorithms in that they cannot effectively adapt to target-scale variat... 详细信息
来源: 评论
Real-Time Tracking Target System Based on kernelized correlation filter in Complicated Areas
收藏 引用
SENSORS 2024年 第20期24卷 6600页
作者: Mbouombouo Mboungam, Abdel Hamid Zhi, Yongfeng Fonzeu Monguen, Cedric Karel Northwestern Polytech Univ Sch Automat Xian 710002 Peoples R China Karlsruhe Inst Technol KIT Inst Chem Technol & Polymer Chem Engesserstr 20 D-76131 Karlsruhe Germany
The achievement of rapid and reliable image object tracking has long been crucial and challenging for the advancement of image-guided technology. This study investigates real-time object tracking by offering an image ... 详细信息
来源: 评论
Visual object tracking with multi-scale superpixels and color-feature guided kernelized correlation filters
收藏 引用
SIGNAL PROCESSING-IMAGE COMMUNICATION 2018年 63卷 44-62页
作者: Wang, Jun Liu, Weibin Xing, Weiwei Zhang, Shunli Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beijing Jiaotong Univ Sch Software Engn Beijing 100044 Peoples R China
While discriminative correlation filter based tracking algorithms have achieved competitive results and demonstrated successfully, there still remain some challenges, such as handling the scenarios of scale variation,... 详细信息
来源: 评论