We present a fuzzy-based decision embedded in in rule-based methods that spontaneously changes pixel intensity for every frame in a given by evaluating both hue type and level of intensity prior to the feature extraction step. The term fuzzy is to answer such question as “How low or high is the frame brightness that is categorized as bright or dark type of frame?” and vice versa. In comparison to normal background subtraction and hard-based decision, the designed fuzzy mechanism intents to demonstrate an enhancement or unravel the visibility of illumination discrepancy which has been video analysis’s nemesis. Thus, we illustrate the development in post-processing phase via applying the results onto gait recognition task. The following results are measured and compared by percentage value of Correct Classification Rate (CCR) for each approach. More than one thousands of hand-held recorded videos and static surveillance videos were acquired as experiment samples.
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26 September 2018
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY (ICAST’18)
10–12 April 2018
Penang, Malaysia
Research Article|
September 26 2018
Background subtraction on gait videos containing illumination variates
Amalina Ibrahim;
Amalina Ibrahim
a)
1
Faculty of Computing and Informatics, Multimedia University
, 63100 Cyberjaya, Malaysia
a)Corresponding author: amalina_ibrahim@hotmail.com
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Wan-Noorshahida Mohd-Isa;
Wan-Noorshahida Mohd-Isa
b)
1
Faculty of Computing and Informatics, Multimedia University
, 63100 Cyberjaya, Malaysia
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Chiung Ching Ho
Chiung Ching Ho
c)
1
Faculty of Computing and Informatics, Multimedia University
, 63100 Cyberjaya, Malaysia
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AIP Conf. Proc. 2016, 020057 (2018)
Citation
Amalina Ibrahim, Wan-Noorshahida Mohd-Isa, Chiung Ching Ho; Background subtraction on gait videos containing illumination variates. AIP Conf. Proc. 26 September 2018; 2016 (1): 020057. https://doi.org/10.1063/1.5055459
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