Hyperspectral Imaging Sensor Based Feature Aided Tracking

We will develop an innovative system called SpecTrac that combines motion constraints with LWIR spectral properties for the tracking of vehicles and dismounts in complex environments. The SpecTrac target model will improve over time and supports tracking using LWIR surface and plume spectral features that are invariant to target temperature, viewing geometry, the thermal environment, and the atmospheric conditions. The new approach will allow SpecTrac to overcome difficulties faced by current tracking systems when encountering targets moving in close proximity in the presence of occlusion and variable target motion. SpecTrac is based on efficient algorithms that will allow real-time tracking on the sensor platform. During Phase I, SpecTrac will be assessed for the long-duration tracking of vehicles and dismounts using a large set of LWIR HSI data. We will also select a LWIR HSI sensor that will support Phase II data collection and provide transition opportunities. A detailed commercialization plan is given for the new software.