Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/44911
Type: | Conference paper |
Title: | A study on indoor automatic change detection for a mobile-camera |
Author: | Tanjung, G. Lu, T. |
Citation: | Proceedings of the 2007 Australasian Conference on Robotics & Automation / Matthew Dunbabin & Mandyam Srinivasan (eds.): www1-www6 |
Publisher: | ARAA |
Publisher Place: | CDROM |
Issue Date: | 2007 |
ISBN: | 9780958758390 |
Conference Name: | Australasian Conference on Robotics & Automation (2007 : Brisbane, Australia) |
Editor: | Dunbabin, M. Srinivasan, M. |
Statement of Responsibility: | Guntur Tanjung and Tien-Fu Lu |
Abstract: | Change detection is one of the most important issues in computer vision applications. This paper presents a study of an automatic change detection method for multiple images of the same scene acquired by a mobile-camera from different positions with no illumination changes. The proposed method used for this study consists of three steps: (1) automatic image registration, (2) temporal differencing and (3) unimportant changes removal. The results in this paper show that the presented method succesfully detect new objects in the scene from the multiple images. |
Published version: | http://www.araa.asn.au/acra/acra2007/papers/paper58final.pdf |
Appears in Collections: | Aurora harvest Mechanical Engineering conference papers |
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