Phenomenology and modeling support for human view

Principal Investigator(s)

John Kerekes

Research Team Members

Nina Raqueño, Jared Van Cor, Scott Brown

Project Description

This project is in support of a Phase II SBIR effort by Intelligent Automation, Inc., to develop a simulation capability for generating visible and infrared (EO/IR) video imagery of human activity for training algorithms to detect such activity in video sequences. Activity during the 2018-19 academic year focused on the planning and execution of Human View Validation Experiment (HUMVVEX) conducted in Dayton, OH in the fall of 2018. Longwave infrared (LWIR) and midwave infrared (MWIR) video sequences were acquired for several test scenarios including static and dynamic (humans walking) tests. RIT contributed to the effort by calibrating the real imagery and developing a DIRSIG scene of the background environment for use in validating the simulations.

Project Status:

The project will be completed shortly after the end of the 2018-19 academic year. Validation data and analysis report will be delivered to the sponsoring organizations.

Figures and Images

Two LWIR images from the HUMVVEX data collection. The left image is of the real scene with people in it. The right image is a simulated image of the background without a human present.

Example LWIR imagery from the HUMVVEX data collection: left – real image; right – preliminary simulated image of scene background without human present.