Abstract: A video content analysis (VCA) system generates an output regarding a detected condition that provides an indication of a confidence level regarding the detected condition. One example VCA system determines whether a first characteristic of a detected object in a field of vision of the video content analysis system satisfies a first criterion. If so, a first signal is generated under selected conditions. The VCA system also determines whether a second characteristic of the detected object satisfies a corresponding second criterion. If so, a second, different signal is generated if the first and second criteria are satisfied. The first and second signals indicate respective, different confidence levels that an event has occurred. A disclosed example includes a VCA as part of a security system.

Abstract: A system for automatically determining video quality receives video input from one or more surveillance cameras (16a, 16b . . . 16N), and based on the received input calculates a number of video quality metrics (40). The video quality metrics are fused together (42), and provided to decision logic (44), which determines, based on the fused video quality metrics, the video quality provided by the one or more surveillance cameras (16a, 16b . . . 16N). The determination is provided to a monitoring station (24).