Processing of Large Wide Area Airborne Sensor (WAAS) Data Streams in Hardware Navy SBIR FY2012.1 Sol No.: Navy SBIR FY2012.1 Topic No.: N121-084 Topic Title: Processing of Large Wide Area Airborne Sensor (WAAS) Data Streams in Hardware Proposal No.: N121-084-0090 Firm: ObjectVideo 11600 Sunrise Valley Drive Suite # 290 Reston, Virginia 20191 Contact: Donald Madden Phone: (703) 654-9300 Web Site: www.objectvideo.com Abstract: ObjectVideo and Brown University propose a heterogeneous FPGA and programmable multi-core DSP solution to perform full-frame target tracking and event detection on motion imagery from Wide Area Aerial Sensors. The OV team will leverage its experience in WAAS video processing and low-power hardware design in order to provide excellent tracking and event detection performance while meeting the size, weight, and power goals appropriate for inclusion on small unmanned aircraft systems. The team has developed local feature-based target detection and tracking algorithms that operate on a significantly reduced space of interest points. These exploitation algorithms scale to larger frame sizes better than conventional techniques and have proven effective on aerial imagery. The team will evaluate these algorithms for execution on FPGA and DSP hardware, and formulate a scalable model for power, area, performance and precision which can guide the hardware implementation. This solution utilizes technologies and methodologies the OV team developed under DARPA funding to support the ARGUS-IS and -IR projects; these technologies can be adapted for this effort with minimal risk. Benefits: Anticipated benefits of the proposed solution are:  Innovative local feature-based detection and tracking requires smaller processing footprint  Reliable tracking and event detection performance from proven WAAS exploitation algorithms  Flexible system adaptable to variety of sensors  Low power consumption which meets SWaP targets. The proposed solution has potential applications in both DoD and commercial markets. The technology to be developed under this project is adaptable and applicable to a wide range of aerial surveillance systems. The small target form factor and power consumption will enable advanced analytics and exploitation capabilities on platforms previously limited by SWaP and bandwidth constraints. ObjectVideo commercialized a DSP-based video exploitation software library which is licensed to OEM camera and DVR manufacturers under the name OnBoard. These libraries provide similar features to those proposed here, such as rule-based event detection, albeit for lower resolution, largely fixed, terrestrial camera feeds. The techniques developed in optimizing FPGA and DSP power consumption and performance can be put to direct use in these OnBoard implementations. The additional capabilities offered by this solution, such as the ability to process very high resolutions and accommodate mobile cameras, could also prove marketable in an advanced commercial product Return