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SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $1.14MM
First Award Date 01/01/08
Most Recent Award Date 01/01/11

Key Personnel

Last Name Name Awards Contact
Guler Dr. Sadiye Guler 5 Message

5 Awards Won

Phase 1 SBIR

Agency: National Science Foundation
Topic: EA-2010
Budget: 01/01/11 - 12/31/11

This Small Business Innovation Research (SBIR) Phase I project aims to research and develop a prototype Classroom VideoAnalyst(CVA) system to automatically extract and index relevant content from classroom observation videos for evaluations and teacher professional development. The premise underpinning this effort is that automatic video analysi...

Phase 1 SBIR

Agency: Navy
Topic: N08-111
Budget: 08/19/09 - 02/19/10

intuVision will research and develop activity recognition algorithms to analyze live training video and a prototype framework for video-based infantry team training performance assessment tools. The objectives for this prototype system are to (1)recognize partially ordered, multithreaded activities from live training video, (2) automatically ide...

Phase 2 SBIR

Agency: Department of Homeland Security
Topic: H-SB08.1-005-2008
Budget: 01/01/09 - 12/31/09

With growing concerns about the security of our borders and vulnerable entry points video imagery has emerged as a high potential surveillance data source for generating real time situational information. This potential comes with its challenges due to the large volumes of data need to be processed, lack of smart sensors to automatically detect ...

Phase 1 SBIR

Agency: Navy
Topic: N08-077
Budget: 05/12/08 - 03/11/09

In this proposal, intuVision and partner West Virginia University Biometric Research Group propose to research, design, and develop a feasibility prototype for a Video Tracking and Object Re-Identification (VTORI) system that can support entity re-identification among multiple sensors and databases. Firstly, we will focus on surveillance video d...

Phase 1 SBIR

Agency: Department of Homeland Security
Topic: 2008
Budget: 01/01/08 - 12/31/08

Automatic extraction of actionable intelligence from collaborative sensors in a framework that supports seamless exchange of extracted information across sensor layers while leveraging the human in the loop is the focus our proposal. Depending upon the specific end-user, data extracted from the battlefield areas represent two major categories: i...