@article {13254, title = {A perturbation method for evaluating background subtraction algorithms}, journal = {Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS)}, year = {2003}, month = {2003///}, abstract = {We introduce a performance evaluation methodology calledPerturbation Detection Rate (PDR) analysis, for measuring performance of background subtraction (BGS) algorithms. It has some advantages over the commonly used Receiver Operation Characteristics (ROC) analysis. Specifically, it does not require foreground targets or knowledge of fore- ground distributions. It measures the sensitivity of a BGS algorithm in detecting low contrast targets against back- ground as a function of contrast, also depending on how well the model captures mixed (moving) background events. We compare four algorithms having similarities and differ- ences. Three are in [2, 3, 5] while the fourth is recently de- veloped, called Codebook BGS. The latter algorithm quan- tizes sample background values at each pixel into code- books which represent a compressed form of background model for a long image sequence. }, author = {Chalidabhongse,T.H. and Kim,K. and Harwood,D. and Davis, Larry S.} }