Gait Silhouette Extraction from Videos Containing Illumination Variates

Citation

Ibrahim, Amalina and Mohd Isa, Wan Noorshahida and Ho, Chiung Ching (2016) Gait Silhouette Extraction from Videos Containing Illumination Variates. In: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, 398 . Springer, pp. 229-236. ISBN 978-981-10-1719-3, 978-981-10-1721-6

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Abstract

We present a heuristic method to automatically adjust pixel intensity per frame from video by analyzing its colour type and level of brightness before initiating silhouette extraction phase. As this is performed at the pre-processing phase, our proposed method aims to show that it is an improvement or solution for videos containing inconsistency of illumination compared to normal background subtraction. We are introducing two modules; a prior processing module and an illumination modeling module. The prior processing module consists of resizing and smoothing operations on related frame in order to accommodate the subsequent module. The illumination modeling module manipulates pixel values in each frame to improve silhouette extraction for a video containing inconsistency of illumination. This proposed method is tested on 1072 videos including videos from an external KTH database. Gait Silhouette Extraction from Videos Containing Illumination Variates | Request PDF. Available from: https://www.researchgate.net/publication/311998170_Gait_Silhouette_Extraction_from_Videos_Containing_Illumination_Variates [accessed Jan 12 2018].

Item Type: Book Section
Uncontrolled Keywords: Biometric identification, Pixel value, Background subtraction, Gait recognition, Illumination
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 29 Nov 2020 10:05
Last Modified: 29 Nov 2020 10:05
URII: http://shdl.mmu.edu.my/id/eprint/7120

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