SBIR Phase I: Learning Context
This Small Business Innovation Research (SBIR) Phase I research project proposes the unsupervised extraction of contextual information from dedicated video surveillance cameras by providing a mechanism to manually inject pieces of semantic, using semantic knowledge as seed information to learn statistical context models for: functional components, Environmental components, targets, temporal components, and integrating the learned contextual information into video surveillance systems.
Automatic exploitation of context from video will benefit: core computer vision research areas such as segmentation, background-modeling, tracking, and classification, event detection, automatic unusual behavior detection; abnormal target behavior, weather conditions, sequences of events, and the like and event handling. This project will have the most impact in the homeland security and law enforcement areas.
Small Business Information at Submission:
11600 Sunrise Valley Drive Reston, VA 20191
Number of Employees: