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Minimum Cuts of A Time-Varying Background (2008)

Abstract
Motivated by the demand for an effective background model, robust to non-stationary environmental changes in outdoor scenes, we present a technique using Combinatorial Optimization to extract near-optimal background estimates from blocks of temporally localized frames. Using an existing graph cut technique in conjunction with subspace analysis, we demonstrate a novel background model exhibiting results superior to those achievable with the latter technique alone, and especially suitable for background modelling in outdoor situations where variable lighting conditions prevail. 1

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.130.5648
Source http://www.macs.hw.ac.uk/bmvc2006/papers/309.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Type text
Language English
Relation 10.1.1.133.4884, 10.1.1.112.6806, 10.1.1.23.7975, 10.1.1.132.3753, 10.1.1.10.7415