DIVA BAA

The DIVA program will produce a common framework and software prototype for activity detection, person/object detection and recognition across a multi-camera network. The impact will be the development of tools for forensic analysis, as well as real-time alerting for userdefined threat scenarios. Collaborative efforts and teaming among potential performers will be encouraged. It is anticipated that teams will be multidisciplinary, and might include expertise in machine learning, deep learning or hierarchical modeling, artificial intelligence, object detection, recognition, person detection and re-identification, person action recognition, video activity detection, tracking across multiple non-overlapping camera viewpoints, 3D reconstruction from video, super-resolution, statistics, probability and mathematics. Performers will not be asked to build a monolithic system for activity detection and tracking across a large camera network. Instead, research will focus on developing a common scalable framework that deploys in an open cloud architecture for activity detection, person/object detection and recognition across overlapping and non-overlapping cameras.