Norikazu Ikoma - Concepedia

Author

Norikazu Ikoma

Kyushu Institute of Technology

Also Known As

Ikoma, Norikazu, N. Ikoma, Norikazu IKOMA, Norikazu Ikoma

130

Publications

506

Citations

H-Index

Concepts

All Affiliations

Kyushu Institute of Technology Waseda University The Institute of Statistical Mathematics University of Cambridge Hosei University

About

Norikazu Ikoma is an author at Kyushu Institute of Technology specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	11	259
2	Computer Science	4	4	150
3	Health Sciences	2	2	23
4	Natural Sciences	2	2	45
5	Computer Engineering	1	1	11

Norikazu Ikoma

Publications

280

Citations

H-Index

Page 1

	Year	Citations
Sequential Monte Carlo framework for extended object tracking J. Vermaak, Norikazu Ikoma, Simon Godsill IEE Proceedings - Radar Sonar and Navigation EngineeringMachine LearningField RoboticsExtended ObjectLocalization	2005	79
Tracking of feature points in image sequence by SMC implementation of PHD filter Norikazu Ikoma, Tsuyoshi Uchino, Hiroshi Maeda Society of Instrument and Control Engineers of Japan Nonlinear FilteringFeature DetectionMachine LearningEngineeringSmc Implementation	2004	30
Extended object tracking using particle techniques J. Vermaak, Norikazu Ikoma, Simon Godsill EngineeringMachine LearningField RoboticsExtended ObjectLocalization	2005	30
Estimation of fuzzy relational matrix by using probabilistic descent method Norikazu Ikoma, Witold Pedrycz, Kaoru Hirota Fuzzy Sets and Systems Fuzzy LogicEngineeringMachine LearningData ScienceData Mining	1993	25
Extended object tracking with unknown association, missing observations, and clutter using particle filters Norikazu Ikoma, Simon Godsill	2003	21
Maneuvering target tracking by using particle filter Norikazu Ikoma, N. Ichimura, Tomoyuki Higuchi, EngineeringShip ManeuveringField RoboticsTarget StateNonlinear Non-gaussian Model	2002	19
Extended object tracking with unknown association, missing observations, and clutter using particle filters Norikazu Ikoma, Simon Godsill Particle FiltersLocation TrackingMachine VisionImage AnalysisEngineering	2004	17
Anti-occlusion observation model and automatic recovery for multi-view ball tracking in sports analysis Xina Cheng, Masaaki Honda, Norikazu Ikoma, Sport EngineeringEngineeringBall DetectionOcclusion ProblemImage Analysis	2016	15
Particle filter with least square fitting prediction and spatial relationship based multi-view elimination for 3D Volleyball players tracking Shuyi Huang, Xizhou Zhuang, Norikazu Ikoma, EngineeringSpatial RelationshipKinesiologyImage AnalysisFiltering Technique	2016	12
Summary of fuzzy flip-flop Kazuhiro Ozawa, Kaoru Hirota, László T. Kóczy, Fuzzy LogicFuzzy SystemsEngineeringCircuit DesignFuzzy Computing	2002	11

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