An abandoned objects management system based on the gaussian mixture model

Chih Yang Lin; Wen Hao Wang

doi:10.1109/ICHIT.2008.214

An abandoned objects management system based on the gaussian mixture model

Chih Yang Lin, Wen Hao Wang

Department of Mechanical Engineering

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

6 Scopus citations

Abstract

In this paper, a comprehensive solution for managing abandoned objects is proposed, which means that the system can deal with the objects that are abandoned and removed. The system contains two adaptive abandoned object detection (AOD) methods that are both based on the Gaussian mixture model for real environments. The first method is more efficient than the second one, but the latter is more robust than the former. The proposed methods are proved to be characterized with prominent efficiency and robustness according to the experimental results.

Original language	English
Title of host publication	Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008
Pages	169-175
Number of pages	7
DOIs	https://doi.org/10.1109/ICHIT.2008.214
State	Published - 2008
Event	2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008 - Daejeon, Korea, Republic of Duration: 28 Aug 2008 → 29 Aug 2008

Publication series

Name	Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008

Conference

Conference	2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008
Country/Territory	Korea, Republic of
City	Daejeon
Period	28/08/08 → 29/08/08

Access to Document

10.1109/ICHIT.2008.214

Cite this

Lin, C. Y., & Wang, W. H. (2008). An abandoned objects management system based on the gaussian mixture model. In Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008 (pp. 169-175). Article 4622820 (Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008). https://doi.org/10.1109/ICHIT.2008.214

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title = "An abandoned objects management system based on the gaussian mixture model",

abstract = "In this paper, a comprehensive solution for managing abandoned objects is proposed, which means that the system can deal with the objects that are abandoned and removed. The system contains two adaptive abandoned object detection (AOD) methods that are both based on the Gaussian mixture model for real environments. The first method is more efficient than the second one, but the latter is more robust than the former. The proposed methods are proved to be characterized with prominent efficiency and robustness according to the experimental results.",

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doi = "10.1109/ICHIT.2008.214",

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Lin, CY & Wang, WH 2008, An abandoned objects management system based on the gaussian mixture model. in Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008., 4622820, Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008, pp. 169-175, 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008, Daejeon, Korea, Republic of, 28/08/08. https://doi.org/10.1109/ICHIT.2008.214

An abandoned objects management system based on the gaussian mixture model. / Lin, Chih Yang; Wang, Wen Hao.
Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008. 2008. p. 169-175 4622820 (Proceedings - 2008 International Conference on Convergence and Hybrid Information Technology, ICHIT 2008).

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

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AB - In this paper, a comprehensive solution for managing abandoned objects is proposed, which means that the system can deal with the objects that are abandoned and removed. The system contains two adaptive abandoned object detection (AOD) methods that are both based on the Gaussian mixture model for real environments. The first method is more efficient than the second one, but the latter is more robust than the former. The proposed methods are proved to be characterized with prominent efficiency and robustness according to the experimental results.

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An abandoned objects management system based on the gaussian mixture model

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