Computational Methods for Decision Making – Automated Image Understanding
The Computational Methods for Decision Making applied research program is composed of three thrusts — Large Scale Distributed Decision-making, Automated Image Understanding, and Resource Optimization.
The Automated Image Understanding thrust focuses on further developing promising computational methods based on principled approaches for building reliable vision systems. The primary focus is on high-level vision:
- Recognizing objects and activities, and inferring intentions and threats in surveillance imagery
- Perception for autonomous agents
- Semantic search of large image and video databases
This program is applied research and focuses on naval problems.
Research Concentration Areas
- Methods for integration of high-level knowledge and image data, in particular hierarchical and compositional models for representation and processing, and reasoning
- Learning complex visual concepts, in particular learning relationships between objects, activities involving interactions of people and objects/spaces, etc.
- Using non-visual information to provide additional context for recognition and inference
- Reconstruction of “scenes and events” from ad hoc networks of heterogeneous cameras, where cameras may be still or video, stationary or mobile, with different resolutions and image quality, and with images taken from widely different views
- Methods for analyzing images from other modalities and fusion of multimodal imagery for enhanced recognition
Research Challenges and Opportunities
- Task relevant learning and visual representations of scenes, objects, activities, events
- Architectures and processes for integration of high-level visual knowledge and image/video data for recognizing scenes, objects, activities, and events
- Dynamic scene understanding from multiple cameras, other sensing modalities, and ancillary information
Program Contact Information
How to Submit
Submit white papers, QUAD charts and full proposals for contracts to this email address: ONR Code 31 Research Submissions
Follow instructions within BAA for submission of grant proposals to grants.gov website.