Kernel Based Multi-object Tracking Using Gabor Functions Embedded in a Region Covariance Matrix

Hélio Palaio; Jorge Batista

doi:10.1007/978-3-642-02172-5_11

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Kernel Based Multi-object Tracking Using Gabor Functions Embedded in a Region Covariance Matrix

Hélio Palaio Jorge Batista

Year: 2009 Lecture notes in computer science Pages: 72-79 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-02172-5_11

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Keywords:

Artificial intelligence Computer science Kernel (algebra) Computer vision Tracking (education) Covariance matrix Object (grammar) Pattern recognition (psychology) Video tracking Covariance Particle filter Filter (signal processing) Algorithm Mathematics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Kernel Based Multi-object Tracking Using Gabor Functions Embedded in a Region Covariance Matrix

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