@article {13178, title = {PDR: A Performance Evaluation Method for Foreground-Background Segmentation Algorithms}, journal = {EURASIP Journal on Applied Signal Processing}, year = {2006}, month = {2006///}, abstract = {We introduce a performance evaluation methodologycalled Perturbation Detection Rate (PDR) analysis for measuring performance of foreground-background seg- mentation. It has some advantages over the commonly used Receiver Operation Characteristics (ROC) analy- sis. Specifically, it does not require foreground targets or knowledge of foreground distributions. It measures the sensitivity of a background subtraction algorithm in detecting possible low contrast targets against the background as a function of contrast, also depending on how well the model captures mixed (moving) back- ground events. We compare four background subtrac- tion algorithms using the methodology. The experimen- tal results show how PDR is used to measure perfor- mance with respect to detection sensitivity in interest- ing low contrast regions. }, author = {Kim,K. and Chalidabhongse,T.H. and Harwood,D. and Davis, Larry S.} }