Deep Intermodal Video Analytics (DIVA)
The DIVA program seeks to develop robust automatic activity detection for a multi-camera streaming video environment. Activities will be enriched by person and
object detection. DIVA will address activity detection for both forensic applications and
for real-time alerting.
Related Program(s)
Research Area(s)
- Machine learning
- Deep learning or hierarchical modeling
- Artificial intelligence
- Object detection
- Recognition
- Person detection and re-identification
- Person action recognition
- Video activity detection
- Tracking across multiple non-overlapping camera viewpoints
- 3D reconstruction from video
- Super-resolution
- Stabilization
- Statistics
- Probability and mathematics
Related Publications
To access DIVA program-related publications, please visit Google Scholars
Related Article(s)
- Government Creating a Mind of its Own
- IARPA Seeks Proposals for Deep Intermodal Video Analytics Program
- US Intelligence Community Examining Video Analytics
- Computers May Soon Be Able to Spot Terrorists Instantly
- US Intelligence Wants Real-time Behavior Monitoring Software
