Hierarchical Background Subtraction Algorithm For Foreground Background Segmentation

Kanesh, Vidhi Rani (2016) Hierarchical Background Subtraction Algorithm For Foreground Background Segmentation. Masters thesis, Indian Institute of Technology Hyderabad.

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Segmentation of moving objects from a video sequence is one of the fundamental and critical task in automated video surveillance, and it gets challenging when the back-ground is non-stationary. Background subtraction is a widely used algorithm for real-time segmentation of moving objects in the presence of the static camera. Various pixel-based or block-based background subtraction approaches are available in the literature. Pixel-based methods generate smooth contours of foreground objects while block-based methods are more robust to the dynamic background. In this dissertation, we propose to combine both block-based and pixel-based background subtraction techniques in a hierarchical manner for better foreground detection. Motion segmentation problems such as dynamic background, illumination variations, and noise are addressed at block-level. Then a fine level processing of the foreground regions is done on the fore-ground background model obtained at block-level processing to smoothen the foreground objects.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Background Substraction, Foreground Background Segmentation, TD572
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Library Staff
Date Deposited: 30 Jun 2016 10:01
Last Modified: 30 Jul 2019 06:11
URI: http://raiith.iith.ac.in/id/eprint/2507
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