Imagecorp, Inc.

9104 Mistwood Dr.
Potomac, MD 20854
http://www.imcorp.com
8 Employees

SBIR Award Summary

Total Number of Awards 15
Total Value of Awards $4.36MM
First Award Date 10/15/97
Most Recent Award Date 05/31/05

Key Personnel

Last Name Name Awards Contact
Zheng Dr. Qinfen Zheng 8 Message
Shekhar Dr. Chandra Shekhar 3 Message
Burlina Dr. Philippe Burlina 2 Message
Meth Reuven Meth 2

15 Awards Won

Phase 2 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB031-015
Budget: 05/31/05 - 07/31/09

ImageCorp, Inc. proposes to design and develop a deployable video automatic target recognition (ATR) system for vehicle classification and recognition using a single video stream. The system will be built by improving the performance of the existing Phase I prototype system which was based on fusing frame-based decisions made either by a support...

Phase 1 SBIR

Agency: Army
Topic: A04-126
Budget: 12/13/04 - 06/13/05

Recognition of human intention using infrared video sequences has applications in surveillance. Although motion trajectories extracted from IR sequences contain significant information about the underlying event, we need a methodology to connect trajectories and intentions. ImageCorp, Inc proposes to implement two deformable-shape based descript...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB031-015
Budget: 05/27/03 - 01/30/04

We propose a model-based temporal integration approach for automatic target recognition (ATR) using a single video stream. The video ATR problem is addressed as a verification and identification task. A generalized Hausdorff metric will be used for target to model matching and target to target tracking and verification. The Hausdorff metric is ...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB022-033
Budget: 10/23/02 - 07/01/03

Autonomous monitoring of human and vehicle activities in a wide area is very important for military and civilian applications. Using distributed sensors, one can generate 3D information and enable reliable monitoring of human and vehicle movements over a wide area in dynamic environments. Critical issues to be addressed for the design and deve...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB022-042
Budget: 10/18/02 - 06/15/03

Traditional methods for recovering 3D scene and object structure have suffered from a serious lack of robustness due to errors in computing optical flow or errors in tracking feature points or other tokens. In addition, due to computational complexity, fast algorithms for these applications are not known. We propose to commercialize a fast techn...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB021-005
Budget: 04/12/02 - 11/30/02

Conventional methods for image registration tend to be restrictive, fragile, and computationally intractable, and not easily applicable to real-time video-to-reference registration. ImageCorp, Inc. proposes a novel approach to this problem, based on the present and past work of Prof. Rama Chellappa's group at the University of Maryland and at Im...

Phase 1 SBIR

Agency: Army
Topic: A01-125
Budget: 02/12/02 - 08/11/02

The amount and diversity of data required for meaningful evaluation of automatic target recognition (ATR) systems under extended operating conditions makes data collection efforts prohibitively expensive and time consuming. Generating novel views of targets from a video segment, or several still images acquired from different viewpoints, will si...

Phase 2 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB991-017
Budget: 08/09/00 - 09/30/02

ImageCorp, Inc. proposes to develop a robust system for on-the-fly detection of vehicles in Synthetic Aperture Radar (SAR) images of unconstrained environments containing both natural and man-made clutter. The system automatically generates contextual information in the form of wide-area site models from single or multiple images. Contextual i...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB001-027
Budget: 04/19/00 - 12/18/00

ImageCorp, Inc. proposes to develop and implement algorithms for the robust characterization of terrain cover, cultural features and topographic information from single and multi- pass processing of FOPEN SAR data. The robust classification of terrains from FOPEN imagery would significantly improve the performance of state-of-the-art Automatic D...

Phase 1 SBIR

Agency: Air Force
Topic: AF00-262
Budget: 04/17/00 - 01/17/01

Conventional methods for image registration tend to be restrictive, fragile, and computationally intractable, and not easily applicable to polarimetric dual-band FOPEN data. ImageCorp, Inc. proposes a novel approach to this problem, based on the present and past work of Prof. Rama Chellappa's group at the University of Maryland and at ImageCorp...

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