Detection and location of moving objects using deterministic relaxation algorithms

by: Nikos Paragios, Georgios Tziritas

No. TR95-0155. (1995)

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Abstract

Two important problems in motion analysis are addressed in this paper: change detection and moving object location. For the first problem, the inter-frame difference is modelized by a mixture of Laplacian distributions, a Gibbs random field is used for describing the label field, and ICM (Iterated Conditional Modes) or HCF (Highest Confidence First) algorithms are used for solving the resulting optimization problem. The solution of the second problem is based on the observation of two...

@techreport{citeulike:822892, abstract = {Two important problems in motion analysis are addressed in this paper: change detection and moving object location. For the first problem, the inter-frame difference is modelized by a mixture of Laplacian distributions, a Gibbs random field is used for describing the label field, and ICM (Iterated Conditional Modes) or HCF (Highest Confidence First) algorithms are used for solving the resulting optimization problem. The solution of the second problem is based on the observation of two...}, author = {Paragios, Nikos and Tziritas, Georgios }, citeulike-article-id = {822892}, keywords = {algorithms, deterministic, relaxation}, number = {TR95-0155}, posted-at = {2006-08-31 11:43:15}, priority = {4}, title = {Detection and location of moving objects using deterministic relaxation algorithms}, url = {http://citeseer.ist.psu.edu/612435.html}, year = {1995} }

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TY - RPRT ID - citeulike:822892 L3 - citeulike-article-id:822892 TI - Detection and location of moving objects using deterministic relaxation algorithms IS - TR95-0155 N2 - Two important problems in motion analysis are addressed in this paper: change detection and moving object location. For the first problem, the inter-frame difference is modelized by a mixture of Laplacian distributions, a Gibbs random field is used for describing the label field, and ICM (Iterated Conditional Modes) or HCF (Highest Confidence First) algorithms are used for solving the resulting optimization problem. The solution of the second problem is based on the observation of two... KW - algorithms KW - deterministic KW - relaxation AU - Paragios, Nikos AU - Tziritas, Georgios PY - 1995/// UR - http://citeseer.ist.psu.edu/612435.html ER -

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