Minimum Cuts of A Time-Varying Background
David Russell, Shaogang Gong · 2006
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