Multicue HMM-UKF for real-time contour tracking.

Full Abstract

We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is further integrated with unscented Kalman filter to exploit object dynamics in nonlinear systems for robust contour tracking.

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Author information

Author/s: Chen, Yunqiang (Y); Rui, Yong (Y); Huang, Thomas S (TS);

Affiliation: Siemens Corporate Research, 755 College Road, East, Princeton, NJ 08540, USA. yunqiang.chen(-atsign-)siemens.com

Journal and publication information

Publication Type: Journal Article

Journal: IEEE transactions on pattern analysis and machine intelligence (IEEE Trans Pattern Anal Mach Intell), published in United States. (Language: eng)

Reference: 2006-Sep; vol 28 (issue 9) : pp 1525-9

Dates: Created 2006/08/25; Completed 2006/09/20;

PMID: 16929738, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Artificial Intelligence
Computer Simulation
Computer Systems
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods

Image Interpretation, Computer-Assisted - methods
Information Storage and Retrieval - methods
Markov Chains
Models, Statistical
Motion
Pattern Recognition, Automated - methods

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