arrow
Return

Bypass methods for constructing robust automatic human tracking system

delete2010-01-01
delete3
PRE
AI
H
Hiroto Kakiuchi *
T
Takao Kawamura
T
Tadaaki Shimizu
K
Kazunori Sugahara
DOI:10.3233/ICA-2010-0328delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We have been proposing the automatic human tracking system to overcome limitations of existing video surveillance systems. This paper proposes two bypass methods to keep tracking a targeted person by the system constructed by using mobile agent technologies even if unexpected problems are occurred. The proposed methods are called as Recalculation Bypass Method and Additional Calculation Bypass Method. These bypass methods utilize the algorithm which is elaborated in the paper, An Algorithm to Determine Neighbor Nodes [7]. The mobile agents are operating in automatic human tracking system and the bypass methods are utilized by the mobile agents. It is a very important ability for the mobile agent not to lose tracking in automatic human tracking systems. The bypass methods contribute to the realization of robust system and resolve two classifications of problem to ensure the tracking ability of mobile agents. The two classifications of problem are logical and physical problems. In the case of logical problems, they occur inside the system and they are called as broken server. While in the case of physical problems, they occur outside the system and they are called as pathway being modified. This system is able to track the targeted person continuously by utilizing the methods even if unexpected problems are occurred. We confirmed the effectiveness of the proposed bypass methods by the experiments that used more than one broken servers and pathway being modified.
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

I
Integrated Computer-Aided Engineering
IF:
5.3
Papers:
491
Citations:
735

Organization

T
Tottori University
Scholars:
5.2K
Papers: 3.5K
Citations: 2.5K
Cited Papers

Cited Papers

No cited papers available