June 14, 2016 -
The Intelligence Advanced Research Projects Activity (IARPA), a division of the Office of the Director of National Intelligence, will host a Proposers’ Day Conference for the Deep Intermodal Video Analytics (DIVA) program on July 12, 2016, in anticipation of the release of a new broad agency announcement (BAA) solicitation.
The purpose of the conference, which will be held in Washington, DC, will be to provide information on DIVA and the research problems the program aims to address, to address questions from potential proposers and to provide a forum for potential proposers to present their capabilities for teaming opportunities.
The DIVA program will be designed to develop robust automated activity detection for a multi-camera streaming video environment. As an essential aspect of DIVA, activities will be enriched by person and object detection, as well as recognition at multiple levels of granularity. DIVA is anticipated to be a three-phase program.
The DIVA program will produce a common framework and software prototype for activity detection, person and/or 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 user defined threat scenarios.
The Proposers’ Day Conference does not constitute a formal solicitation for proposals or proposal abstracts. Conference attendance is voluntary and is not required to propose to future solicitations, if any, associated with this program. IARPA will not provide reimbursement for costs incurred to participate in the conference.
IARPA anticipates that academic institutions and companies from around the world will participate in this program. Researchers will be encouraged to publish their findings in academic journals.
Collaborative efforts and teaming among potential participants 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.
Participants 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.
The morning session will include an overview of the program goals, technical challenges, and expected participation requirements. A description of how the solutions will be evaluated will be provided.
The afternoon will include unclassified presentations and poster sessions to provide an opportunity for attendees to present their organizations’ capabilities and to explore teaming arrangements. Attendees who wish to present organization capabilities for teaming opportunities may submit a request through the registration website. Details on the presentation and poster formats, and the procedure for submitting a request to present, will be provided after approval to register for the Conference has been granted.
Time available for presentations and space available for posters will be limited. Presentations will be limited to the first 20 registered respondents who request an oral presentation. There will also be a limitation on the number of posters determined by the first registered respondents that request a poster presentation. These presentations are not intended to solicit feedback from the government, and government personnel will not be present during the presentations.
This Proposers’ Day is intended for participants who are eligible to compete on the anticipated BAA. Attendees must register no later than 5 pm ET on July 5. Directions to the conference facility and other materials will be available on a full access website. No walk-in registrations will be allowed.