BACKGROUND EXTRACTION VIA SAMPLING

MPhil Thesis Defence


Title: "BACKGROUND EXTRACTION VIA SAMPLING"

By

Mr. Tsz Yeung NG


Abstract

Background extraction, which is to compute a background image given a set 
of images, has real life applications in computer vision such as video 
surveillance, objects recognition and High Dynamic Range imaging. Moving 
objects in the provided set of images make the problem challenging. 
Obtaining such a background image is usually the first step in the 
aforementioned tasks and the performance is heavily influenced by the 
extracted background image.

Background extraction has been studied and different methods have been 
proposed to solve the tasks under various constraints. A difficult 
scenario is to extract the background with very few images. We proposed a 
simple framework that utilizes sampling and clustering techniques to solve 
the background extraction problem in this setting. Experiments are 
conducted to evaluate the performance of the proposed method with real 
world datasets. We also qualitatively compared the results with several 
existing state-of-the-art methods.


Date:			Monday, 3 August 2015

Time:			11:00am - 1:00pm

Venue:			Room 2132C
 			Lift 19

Committee Members:	Prof. Siu-Wing Cheng (Supervisor)
 			Prof. Chi-Keung Tang (Chairperson)
 			Prof. Huamin Qu


**** ALL are Welcome ****