Automated Learning Video Analysis (ALVA)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9302-05-M-1003
Agency Tracking Number: F051-309-3565
Amount: $99,990.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-309
Solicitation Number: 2005.1
Small Business Information
3475 Edison Way , Bldg P, Menlo Park, CA, 94025
DUNS: 809641533
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Colin Taylor
 Sr. Staff Scientist
 (650) 369-6783
Business Contact
 Robert Clark
Title: President
Phone: (650) 369-6783
Research Institution
We propose to develop a system that will automatically track targets based on characteristic velocity differentials between the target and the background. We leverage our existing system for feature detection and tracking and show that it can produce recognizable discrepancies in the kinematics between a moving background and a moving target. We will augment the discriminating power of this kinematic information with visual cues extracted from the video around the tracked centroid. The resultant feature vector will be used both for finalizing the tracking and for identifying events from the video sequence. We present sample data which suggests that the kinematic information alone might be sufficient to automatically recognize the object and background from the image without additional input required from the engineer. We demonstrate an intriguing transformation in which the video data cube can be projected to substantially simpler 2D images that are amenable to further image processing. We discuss how the reduced and well formulated information stream can be processed through the use of pattern recognition and Neural Networks to recognize and segment discernable events. This report demonstrates the potential of our approach on both ground based, flight chase and cockpit video sequences.

* Information listed above is at the time of submission. *

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