13 January 2012 Ghost removal for background subtraction using color similarity comparison
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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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zulaikha Kadim, Zulaikha Kadim, Kim Meng Liang, Kim Meng Liang, Norshuhada Samudin, Norshuhada Samudin, Khairunnisa M. Johari, Khairunnisa M. Johari, Hock Woon Hon, Hock Woon Hon, } "Ghost removal for background subtraction using color similarity comparison", 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; https://doi.org/10.1117/12.920948


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