Multi-object tracking using an adaptive transition model particle filter with region covariance data association

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761000 ◽

2008 ◽

Author(s):

Helio Palaio ◽

Jorge Batista

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Data Association ◽

Transition Model ◽

Model Particle ◽

Region Covariance

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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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Adaptive dynamic model particle filter for visual object tracking

2009 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2009.5268114 ◽

2009 ◽

Author(s):

JiXiang Zhang ◽

Yuan Tian ◽

YiPing Yang

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Dynamic Model ◽

Visual Object ◽

Visual Object Tracking ◽

Model Particle ◽

Adaptive Dynamic

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Multi-Object Tracking Based on Particle Filter and Data Association in Color Image Sequences

Computer Vision and Graphics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-02345-3_14 ◽

2009 ◽

pp. 133-142 ◽

Author(s):

Ayoub Al-Hamadi ◽

Saira Saleem Pathan ◽

Bernd Michaelis

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Color Image ◽

Data Association ◽

Image Sequences

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A kernel particle filter multi-object tracking using gabor-based region covariance matrices

2009 16th IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2009.5413703 ◽

2009 ◽

Author(s):

Helio Palaio ◽

Jorge Batista

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Covariance Matrices ◽

Region Covariance

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Object Tracking Based on Particle Filter with Data Association

Communications in Computer and Information Science - Advances in Image and Graphics Technologies ◽

10.1007/978-3-662-47791-5_13 ◽

2015 ◽

pp. 104-112

Author(s):

Peng Li ◽

Yanjiang Wang

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Data Association

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Particle filter object tracking based on SIFT-Gabor Region Covariance Matrices

2012 IEEE International Conference on Intelligent Control, Automatic Detection and High-End Equipment ◽

10.1109/icade.2012.6330127 ◽

2012 ◽

Author(s):

Xinying Liu

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Covariance Matrices ◽

Region Covariance

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Multiple Target Tracking Using Cheap Joint Probabilistic Data Association Multiple Model Particle Filter in Sensors Array

International Journal of Artificial Intelligence & Applications ◽

10.5121/ijaia.2012.3401 ◽

2012 ◽

Vol 3 (4) ◽

pp. 1-20 ◽

Author(s):

Messaoudi Zahir

Keyword(s):

Particle Filter ◽

Target Tracking ◽

Data Association ◽

Multiple Model ◽

Multiple Target Tracking ◽

Multiple Target ◽

Probabilistic Data ◽

Probabilistic Data Association ◽

Model Particle ◽

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Nonparametric data association for particle filter based multi-object tracking: application to multi-pedestrian tracking

2008 IEEE Intelligent Vehicles Symposium ◽

10.1109/ivs.2008.4621167 ◽

2008 ◽

Author(s):

Samuel Gidel ◽

Christophe Blanc ◽

Thierry Chateau ◽

Paul Checchin ◽

Laurent Trassoudaine

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Data Association ◽

Pedestrian Tracking

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A Multiple Model Particle Filter for Maneuvering Target Tracking Based on Composite Sampling

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2013.01152 ◽

2014 ◽

Vol 39 (7) ◽

pp. 1152-1156 ◽

Author(s):

Xiao WANG ◽

Chong-Zhao HAN

Keyword(s):

Particle Filter ◽

Target Tracking ◽

Multiple Model ◽

Maneuvering Target Tracking ◽

Model Particle ◽

Composite Sampling ◽

Maneuvering Target

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Improved object tracking method based on mean shift and particle filter

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.00504 ◽

2013 ◽

Vol 32 (2) ◽

pp. 504-506

Author(s):

Ke LI ◽

Ke-hu XU ◽

Da-shan HUANG

Keyword(s):

Particle Filter ◽

Object Tracking ◽

Tracking Method

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