Segmentation Based Particle Filtering for Real-Time 2D Object Tracking

Vasileios Belagiannis; Falk Schubert; Nassir Navab; Slobodan Ilić

doi:10.1007/978-3-642-33765-9_60

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Segmentation Based Particle Filtering for Real-Time 2D Object Tracking

Vasileios Belagiannis Falk Schubert Nassir Navab Slobodan Ilić

Year: 2012 Lecture notes in computer science Pages: 842-855 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-33765-9_60

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Keywords:

Minimum bounding box Artificial intelligence Computer vision Computer science Segmentation Tracking (education) Particle filter Orientation (vector space) Histogram Video tracking Eye tracking Object (grammar) Sampling (signal processing) Sample (material) Bounding overwatch Pattern recognition (psychology) Image (mathematics) Mathematics Kalman filter Filter (signal processing)

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Segmentation Based Particle Filtering for Real-Time 2D Object Tracking

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