SBIR-STTR Award

Detecting and Tracking Small Moving Target by using Gabor/LTG Image Stabilization Method and Saliency Analysis
Award last edited on: 2/22/2007

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$99,994
Award Phase
1
Solicitation Topic Code
AF05-216
Principal Investigator
Thomas Tsao

Company Information

Compusensor Technology Corporation (AKA: CST~Compusensor)

352-C Christopher Aven
Gaithersburg, MD 20879
   (301) 990-1100
   marketing@cstcorp.com
   www.cstcorp.com
Location: Single
Congr. District: 06
County: Montgomery

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2005
Phase I Amount
$99,994
Detecting and tracking small moving targets is a great challenge for aircraft. Passive Ground Moving Target Indicator (PGMTI) algorithms must carry out the simultaneous tasks of robust platform motion compensation, false alarm suppression, and accurate target tracking, all in real-time. CompuSensor propose using its Lie Transformation Group method of Gabor-type place token matching as the basis of image stabilization, using saliency analysis method for false alarm suppression, small moving target detection and tracking. 1) Compared with image feature correspondence method, the neurobiology inspired Gabor-type place token matching is more robust to small size perturbation factors in a dynamic scene, and through Lie transformation group method, capable of rapid and accurate motion compensation. 2) The saliency analysis based method provides a natural and generic method for false alarm suppression and small target detection. 3) A robust algorithm for tracking moving targets resulted from combination of the two methods. The proposed method is suitable for real-time operation

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
----
Phase II Amount
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