When individuals of a species can be identified on camera traps whether via natural markings or artificial marks, we are able to employ a robust set of models to analyze those data in a capture-recapture framework to estimate critical population metrics such as true abundance, density, survival and recruitment. Camera traps allow us to use capture-recapture, often without ever having to capture the animals thus saving time, money and reducing potential stress. This workshop session will introduce a suite of mark recapture models for use with camera trap data. We will provide examples of how to run common mark recapture models using Program R and Program MARK including closed capture models, spatially explicit capture recapture and mark-resight models. We will also discuss some of the challenges of using these models including sample size, capture heterogeneity, mark loss and computing power.