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A Review on Cooperative Robotic Arms with Mobile or Drones Bases 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 4, 页码: 536-555
作者:  Larona Pitso Ramalepa;  Rodrigo S. Jamisola Jr.
Adobe PDF(1192Kb)  |  收藏  |  浏览/下载：538/357  |  提交时间：2021/07/20
Cooperative arms  mobile manipulator  aerial manipulator  mobile base  drone base  cooperative tasks  
Learning Deep RGBT Representations for Robust Person Re-identification 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 443-456
作者:  Ai-Hua Zheng;  Zi-Han Chen;  Cheng-Long Li;  Jin Tang;  Bin Luo
Adobe PDF(1832Kb)  |  收藏  |  浏览/下载：296/67  |  提交时间：2021/05/24
Person re-identification (Re-ID)  thermal infrared  generative networks  attention  deep learning  
Research on Transfer Learning of Vision-based Gesture Recognition 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 422-431
作者:  Bi-Xiao Wu;  Chen-Guang Yang;  Jun-Pei Zhong
Adobe PDF(1688Kb)  |  收藏  |  浏览/下载：298/66  |  提交时间：2021/05/24
Transfer learning  gesture recognition  red-green-blue (RGB) Camera  Leap Motion  joint distribution adaptation (JDA)  
Deep Audio-Visual Learning: A Survey 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 351-376
作者:  Hao Zhu;  Man-Di Luo;  Rui Wang;  Ai-Hua Zheng;  Ran He
Adobe PDF(1864Kb)  |  收藏  |  浏览/下载：231/51  |  提交时间：2021/05/24
Deep audio-visual learning  audio-visual separation and localization  correspondence learning  generative models  representation learning  
A Comprehensive Review on Group Activity Recognition in Videos 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 334-350
作者:  Li-Fang Wu;  Qi Wang;  Meng Jian;  Yu Qiao;  Bo-Xuan Zhao
Adobe PDF(1415Kb)  |  收藏  |  浏览/下载：300/73  |  提交时间：2021/05/24
Group activity recognition (GAR)  human activity recognition  scene understanding  video analysis  computer vision  
Advances in Deep Learning Methods for Visual Tracking: Literature Review and Fundamentals 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 311-333
作者:  Xiao-Qin Zhang;  Run-Hua Jiang;  Chen-Xiang Fan;  Tian-Yu Tong;  Tao Wang Peng-Cheng Huang
Adobe PDF(1787Kb)  |  收藏  |  浏览/下载：308/50  |  提交时间：2021/05/24
Deep learning  visual tracking  data-invariant  data-adaptive  general components  
Fire Detection Method Based on Depthwise Separable Convolution and YOLOv3 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 300-310
作者:  Yue-Yan Qin;  Jiang-Tao Cao;  Xiao-Fei Ji
Adobe PDF(2289Kb)  |  收藏  |  浏览/下载：255/64  |  提交时间：2021/04/22
Fire detection  depthwise separable convolution  fire classification  You Only Look Once version 3 (YOLOv3)  target regression  
A Tracking Registration Method for Augmented Reality Based on Multi-modal Template Matching and Point Clouds 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 288-299
作者:  Peng-Xia Cao, Wen-Xin Li, Wei-Ping Ma
Adobe PDF(1402Kb)  |  收藏  |  浏览/下载：212/64  |  提交时间：2021/04/22
Augmented reality  markerless  tracking registration  LineMod  iterative closest point (ICP) algorithm  
Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:  Wen-Han Zhu;  Wei Sun;  Xiong-Kuo Min;  Guang-Tao Zhai;  Xiao-Kang Yang
Adobe PDF(1343Kb)  |  收藏  |  浏览/下载：200/66  |  提交时间：2021/04/22
Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction  
Design of an Executable ANFIS-based Control System to Improve the Attitude and Altitude Performances of a Quadcopter Drone 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 1, 页码: 124-140
作者:  Mohammad Al-Fetyani;  Mohammad Hayajneh;  Adham Alsharkawi
浏览  |  Adobe PDF(2736Kb)  |  收藏  |  浏览/下载：317/153  |  提交时间：2021/02/23
Quadcopter  proportional integral derivate (PID) control  fuzzy control  adaptive neuro-fuzzy  altitude control  attitude control