1. A method for normalizing and publishing alerts generated by a behavioral recognition system evaluating a sequence of video frames, the method comprising: receiving an alert having a type and an original rareness value, wherein the alert corresponds to an observed behavior of one or more foreground objects detected in the sequence of video frames and wherein the original rareness value reflects how common the alert is based on alerts of the type that have previously been generated by the behavioral recognition system while evaluating the sequence of video frames; converting the original rareness value to an alert percentile value; upon determining that the alert percentile value is greater than a percentile threshold, normalizing the alert, wherein the percentile threshold is ξ i = 1 - v i N i , where v i is a maximum allowed alert counts for the alert type value and N i is an estimated next-day alert counts value; and publishing the alert.