Bayesian approach for integrating spatial and temporal information during scene analysis
Abstract
Abstract. The objective of the proposed effort is to develop a computational framework for constructing a system for autonomous scene analysis that will be able to overcome shortcomings of current approaches and specifically be able to learn object categories from a small number of observations. The proposed effort will use a probabilistic Bayesian approach to learn object categories and relations between objects and object parts. It will develop a framework for using both spatial and temporal contextual information and for integrating the two types of information during the learning and inference stages.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 22, 2016
- Source ID
- N000141512256
Entities
People
- Donald Geman
Organizations
- Johns Hopkins University
- Office of Naval Research
- United States Navy