Object tracking algorithm of swarm robot system for using polygon based Q-learning and cascade SVM

2009 IEEE International Symposium on Industrial Electronics ◽

10.1109/isie.2009.5213140 ◽

2009 ◽

Author(s):

Seo Sang-Wook ◽

Yang Hyun-Chang ◽

Sim Kwee-Bo

Keyword(s):

Object Tracking ◽

Tracking Algorithm ◽

Robot System ◽

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Object tracking algorithm of Swarm Robot System for using Polygon based Q-learning and parallel SVM

International Journal of Fuzzy Logic and Intelligent Systems ◽

10.5391/ijfis.2008.8.3.220 ◽

2008 ◽

Vol 8 (3) ◽

pp. 220-224 ◽

Author(s):

Snag-Wook Seo ◽

Hyun-Chang Yang ◽

Kwee-Bo Sim

Keyword(s):

Object Tracking ◽

Tracking Algorithm ◽

Robot System ◽

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Object tracking algorithm of Swarm Robot System for using SVM and Dodecagon based Q-learning

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2008.18.3.291 ◽

2008 ◽

Vol 18 (3) ◽

pp. 291-296

Author(s):

Sang-Wook Seo ◽

Hyun-Chang Yang ◽

Kwee-Bo Sim

Keyword(s):

Object Tracking ◽

Tracking Algorithm ◽

Robot System ◽

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Behavior Learning and Evolution of Swarm Robot System using Q-learning and Cascade SVM

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2009.19.2.279 ◽

2009 ◽

Vol 19 (2) ◽

pp. 279-284

Author(s):

Sang-Wook Seo ◽

Hyun-Chang Yang ◽

Kwee-Bo Sim

Keyword(s):

Robot System ◽

Behavior Learning ◽

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Adaptive reinforcement Q-Learning algorithm for swarm-robot system using pheromone mechanism

2013 IEEE International Conference on Robotics and Biomimetics (ROBIO) ◽

10.1109/robio.2013.6739586 ◽

2013 ◽

Author(s):

Zhiguo Shi ◽

Jun Tu ◽

Yuankai Li ◽

Zeying Wang

Keyword(s):

Learning Algorithm ◽

Robot System ◽

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High speed long-term visual object tracking algorithm for real robot systems

Neurocomputing ◽

10.1016/j.neucom.2020.12.113 ◽

2021 ◽

Vol 434 ◽

pp. 268-284

Author(s):

Muxi Jiang ◽

Rui Li ◽

Qisheng Liu ◽

Yingjing Shi ◽

Esteban Tlelo-Cuautle

Keyword(s):

Object Tracking ◽

Tracking Algorithm ◽

Visual Object ◽

Visual Object Tracking ◽

Robot Systems ◽

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An Adaptive Model Update Object Tracking Algorithm based on DenseNet Features

2020 International Conference on Networking and Network Applications (NaNA) ◽

10.1109/nana51271.2020.00062 ◽

2020 ◽

Author(s):

Sugang Ma ◽

Lei Zhang ◽

Lei Pu ◽

Xiaobao Yang ◽

Zhiqiang Hou

Keyword(s):

Object Tracking ◽

Tracking Algorithm ◽

Adaptive Model ◽

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Object Tracking Algorithm Based on Meanshift Algorithm Combining with Motion Vector Analysis

2009 First International Workshop on Education Technology and Computer Science ◽

10.1109/etcs.2009.225 ◽

2009 ◽

Author(s):

Gang Tian ◽

Rui-Min Hu ◽

Zhong-Yuan Wang ◽

Li Zhu

Keyword(s):

Object Tracking ◽

Motion Vector ◽

Tracking Algorithm ◽

Vector Analysis

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A new particle filter object tracking algorithm based on dynamic transition model

2016 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2016.7832116 ◽

2016 ◽

Author(s):

Jia Wei ◽

Liu Hongjuan ◽

Sun Wei ◽

Pan Rong

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Tracking Algorithm ◽

Transition Model ◽

Dynamic Transition

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Dynamic correlation matrix based multi-Q learning for a multi-robot system

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.2008.4651021 ◽

2008 ◽

Author(s):

Hongliang Guo ◽

Yan Meng

Keyword(s):

Correlation Matrix ◽

Robot System ◽

Dynamic Correlation ◽

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Siamese single object tracking algorithm with natural language prior

Frontiers of Computer Science ◽

10.1007/s11704-020-0027-8 ◽

2021 ◽

Vol 15 (5) ◽

Author(s):

Qianli Zhou ◽

Rong Wang ◽

Jinze Li ◽

Naiqian Tian ◽

Wenjin Zhang

Keyword(s):

Natural Language ◽

Object Tracking ◽

Tracking Algorithm ◽

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