We bring biometric recognition to surveillance environments. Seamlessly.
The acronym of this project comes from the Latin and summarizes its goals: "Quis" stands for "Who is" and "Campus" refers to a delimited space. Hence, in this project we aim at research and development of a biometric recognition system able to work in completely covert conditions. The main idea is that whenever a subject enters a QUIS-CAMPUS, it is automatically recognized, using multiple biometric sources and without requiring any active participation from the subject side.
Given the efforts being held into extending robust biometric recognition techniques to in the wild scenarios, we propose a fully automated surveillance system for human recognition purposes, attained by combining human detection and tracking, further enhanced by a PTZ camera that delivers data with enough quality to perform biometric recognition. We understand that despite being a very attractive goal, human identification in the surveillance context had remained an open problem so far. Nonetheless, we strive to make Quis-Campi a reference in this field.