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Improved Correlation Filter Tracking with Hard Negative Mining Conference paper
Proceedings - International Conference on Pattern Recognition
Authors:  Qie C.;  Guo G.;  Yan Y.;  Zhang L.;  Wang H.
Favorite  |  View/Download：2/0  |  Submit date：2019/04/04
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download：173/24  |  Submit date：2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Object tracking using distribution fields with correlation coefficients Journal article
MULTIMEDIA TOOLS AND APPLICATIONS, 2018,Volume: 77,Issue: 7,Page: 8979-9002
Authors:  Qin, Peng;  Pun, Chi-Man
Favorite  |  View/Download：14/0  |  Submit date：2018/10/30
Object Tracking  Distribution Fields  Particle Filters  Correlation Coefficients  
Fast multi-object tracking using convolutional neural networks with tracklets updating Conference paper
2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Authors:  Zhang Y.;  Tang Y.;  Fang B.;  Shang Z.
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Deep learning  Hungarian algorithm  Kaiman Filter  Multi-object tracking  
Structure-Regularized Compressive Tracking With Online Data-Driven Sampling Journal article
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017,Volume: 26,Issue: 12,Page: 5692-5705
Authors:  Guo, Qing;  Feng, Wei;  Zhou, Ce;  Pun, Chi-Man;  Wu, Bin
Favorite  |  View/Download：7/0  |  Submit date：2018/10/30
Object tracking  structural regularization  superpixel-guided compressive projection  fast directional integration  online data-driven sampling  
Structure-Regularized Compressive Tracking with Online Data-Driven Sampling Journal article
IEEE Transactions on Image Processing, 2017,Volume: 26,Issue: 12,Page: 5692-5705
Authors:  Guo Q.;  Feng W.;  Zhou C.;  Pun C.-M.;  Wu B.
Favorite  |  View/Download：2/0  |  Submit date：2019/02/14
Fast Directional Integration  Object Tracking  Online Data-driven Sampling  Structural Regularization  Superpixel-guided Compressive Projection  
Robust Object Tracking via Key Patch Sparse Representation Journal article
IEEE Transactions on Cybernetics, 2017,Volume: 47,Issue: 2,Page: 354-364
Authors:  He, Zhenyu;  Yi, Shuangyan;  Cheung, Yiu-Ming;  You, Xinge;  Tang, Yuan Yan
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Occlusion Prediction Scheme  Particle Filter  Patch Sparse Representation  Template Update  Visual Object Tracking  
Fast Multi-Object Tracking Using Convolutional Neural Networks with Tracklets Updating Conference paper
Authors:  Zhang, Yuanping;  Tang, Yuanyan;  Fang, Bin;  Shang, Zhaowei;  IEEE
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Multi-object tracking  Deep learning  Kalman Filter  Hungarian algorithm  
Connected Component Model for Multi-Object Tracking Journal article
IEEE Transactions on Image Processing, 2016,Volume: 25,Issue: 8,Page: 3698 - 3711
Authors:  Zhenyu He;  Xin Li;  Xinge You;  Dacheng Tao;  Yuan Yan Tang
Favorite  |  View/Download：4/0  |  Submit date：2018/10/30
Connected Component Model (Ccm)  Data Association  Equivalence Relation  Multi-object Tracking  
Highly non-rigid video object tracking using segment-based object candidates Journal article
MULTIMEDIA TOOLS AND APPLICATIONS, 2016,Volume: 76,Issue: 7,Page: 9565-9586
Authors:  Lin, Cong;  Pun, Chi-Man;  Huang, Guoheng
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Highly Non-rigid Object  Tracking  Segment-based  Objectness  Motion Weights  Appearance Model