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Robust Background Subtraction For Moving Cameras And Their Applications In Ego-Vision Systems, Hasan Sajid
Robust Background Subtraction For Moving Cameras And Their Applications In Ego-Vision Systems, Hasan Sajid
Theses and Dissertations--Electrical and Computer Engineering
Background subtraction is the algorithmic process that segments out the region of interest often known as foreground from the background. Extensive literature and numerous algorithms exist in this domain, but most research have focused on videos captured by static cameras. The proliferation of portable platforms equipped with cameras has resulted in a large amount of video data being generated from moving cameras. This motivates the need for foundational algorithms for foreground/background segmentation in videos from moving cameras. In this dissertation, I propose three new types of background subtraction algorithms for moving cameras based on appearance, motion, and a combination of …
A Universal Background Subtraction System, Hasan Sajid
A Universal Background Subtraction System, Hasan Sajid
Theses and Dissertations--Electrical and Computer Engineering
Background Subtraction is one of the fundamental pre-processing steps in video processing. It helps to distinguish between foreground and background for any given image and thus has numerous applications including security, privacy, surveillance and traffic monitoring to name a few. Unfortunately, no single algorithm exists that can handle various challenges associated with background subtraction such as illumination changes, dynamic background, camera jitter etc. In this work, we propose a Multiple Background Model based Background Subtraction (MB2S) system, which is universal in nature and is robust against real life challenges associated with background subtraction. It creates multiple background models …