Alert volume normalization in a video surveillance system

摘要

Techniques are disclosed for normalizing and publishing alerts using a behavioral recognition-based video surveillance system configured with an alert normalization module. Certain embodiments allow a user of the behavioral recognition system to provide the normalization module with a set of relative weights for alert types and a maximum publication value. Using these values, the normalization module evaluates an alert and determines whether its rareness value exceed a threshold. Upon determining that the alert exceeds the threshold, the module normalizes and publishes the alert.

主权项

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 isξi=1-viNi,where vi is a maximum allowed alert counts for the alert type value and Ni is an estimated next-day alert counts value; and
publishing the alert.