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A Behavior Recognition System for Identifying and Monitoring Human Activities

Project Mission | Project Status


This effort used advanced human gesture tracking algorithms to identify suspicious behavior. The notion is to create a system that can free human observers from the tedious task of monitoring large arrays of image sources. The system tags anomalous human motion-based behavior for review by operators. The innovative dynamic gesture tracking algorithms developed by Cybernet were the basis of this work.


Completed for AFRL Kirtland.

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