Lawrence Livermore National Laboratory



Technical Focus Areas: Computer Vision and Video Analytics
Image and video processing, along with statistical modeling, enable applications such as persistent surveillance

3-D Overhead Reconstruction

Our Capabilities

Livermore is both leveraging and advancing state-of-the art techniques in computer vision and video analytics to address problems of national interest. Novel approaches to processing wide-area motion imagery have resulted in superior data products for analyst exploitation and archival storage. In addition, techniques such as object recognition, change detection, and tracking have demonstrated the potential to improve analyst efficiency as well as provide new capabilities. Cutting-edge machine learning and video analysis methods are also being explored to enable large-scale search, retrieval, and indexing. This work focuses on applying and extending state-of-the-art techniques in unsupervised feature learning on large data sets in ways that use all available information: audio, imagery, motion, semantic information, and tags to aid in building large-scale learners that facilitate flexible classification and query strategies.

Recent CASIS Workshop Proceedings

Contact a Subject Matter Expert

Kofi Boakye, (925) 422-2723, boakye1@llnl.gov
Computer Vision Group Leader

In the Spotlight —
Persistics Persistent Surveillance

The Challenge

Wide-area motion imagery for persistent aerial surveillance generates enormous amounts of video data — many terabytes per minute — overwhelming both analysts and storage systems.

The Results

Persistics Imagery

Until now, we had no practical way to store that much data. With Persistics, we have an innovative method to compress the equivalent of thousands of hard drives to just a few drives.

Holger Jones, LLNL

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