Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on implementing the proposed framework and enabling technologies and demonstrating their effectiveness, and technical and operational feasibility for identification of the function of novel and partially occluded laboratory equipment. The proposed effort will build upon the vast portfolio of existing work by the Novateur Team in the areas of target detection and classification, statistical relational learning, deep learning, ontology representations, and semantic reasoning for scene understanding and inference.