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Proceedings Paper

Ghost removal for background subtraction using color similarity comparison
Author(s): Zulaikha Kadim; Kim Meng Liang; Norshuhada Samudin; Khairunnisa M. Johari; Hock Woon Hon
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Paper Abstract

This paper aims to solve the problem of detecting ghost object; which is a common problem in background subtraction algorithm. Ghost object is the false object detected which is not corresponding to any actual object in current image. In this work, we proposed ghost detection and removal method using color similarity comparison. Proposed solution is designed based on the assumption that ghost problem occurs due to the existence of the object in background image instead of in the current image. We are using color similarity between detected foreground area and its surrounding area to first determine whether the object appear in background or current image, consequently identify whether the detected object is a ghost or an actual object. Proposed solution has been tested using various datasets including PETS2001 and own datasets and it is proved that the proposed method is able to solve ghost problem.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490P (13 January 2012); doi: 10.1117/12.920948
Show Author Affiliations
Zulaikha Kadim, MIMOS Berhad (Malaysia)
Kim Meng Liang, MIMOS Berhad (Malaysia)
Norshuhada Samudin, MIMOS Berhad (Malaysia)
Khairunnisa M. Johari, MIMOS Berhad (Malaysia)
Hock Woon Hon, MIMOS Berhad (Malaysia)


Published in SPIE Proceedings Vol. 8349:
Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis
Zhu Zeng; Yuting Li, Editor(s)

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