Multi-camera tracking system in a large area case

Zalili Binti Musa; Junzo Watada

doi:10.1109/FUZZY.2009.5277294

Multi-camera tracking system in a large area case

Zalili Binti Musa, Junzo Watada

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

A video tracking system raises a wide range of possibilities in today's society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object's motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Pages	1959-1964
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2009.5277294
Publication status	Published - 2009
Event	2009 IEEE International Conference on Fuzzy Systems - Jeju Island Duration: 2009 Aug 20 → 2009 Aug 24

Other

Other	2009 IEEE International Conference on Fuzzy Systems
City	Jeju Island
Period	09/8/20 → 09/8/24

ASJC Scopus subject areas

Software
Artificial Intelligence
Applied Mathematics
Theoretical Computer Science

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10.1109/FUZZY.2009.5277294

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title = "Multi-camera tracking system in a large area case",

abstract = "A video tracking system raises a wide range of possibilities in today's society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object's motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.",

author = "Musa, {Zalili Binti} and Junzo Watada",

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doi = "10.1109/FUZZY.2009.5277294",

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AU - Musa, Zalili Binti

AU - Watada, Junzo

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AB - A video tracking system raises a wide range of possibilities in today's society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object's motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.

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U2 - 10.1109/FUZZY.2009.5277294

DO - 10.1109/FUZZY.2009.5277294

M3 - Conference contribution

AN - SCOPUS:71249102308

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EP - 1964

BT - IEEE International Conference on Fuzzy Systems

T2 - 2009 IEEE International Conference on Fuzzy Systems

Y2 - 20 August 2009 through 24 August 2009

ER -

Multi-camera tracking system in a large area case

Abstract

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ASJC Scopus subject areas

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