Applications of shape analysis to domestic and international security.
- Alexei N.
- Justin E.
The rapidly growing area of cooperative international security calls for pervasive deployment of smart sensors that render valuable information and reduce operational costs and errors. Among the sensors used, vision sensors are by far the most versatile, tangible, and rich in the information they provide about their environment. On the flip side, they are also the most complex to analyze automatically for the extraction of high-level information. The ability to process imagery in a useful manner requires at least partial functional emulation of human capabilities of visual understanding. Of all visual cues available in image data, shape is perhaps the most important for understanding the content of an image. In this paper we present an overview of ongoing research at LANL on geometric shape analysis. The objective of our research is to develop a computational framework for multiscale characterization, analysis, and recognition of shapes. This framework will enable the development of a comprehensive and connected body of mathematical methods and algorithms, based on the topological, metrical, and morphological properties of shapes. We discuss its potential applications to automated surveillance, monitoring, container tracking and inspection, weapons dismantlement, and treaty verification. The framework will develop a geometric filtering scheme for extracting semantically salient shape features. This effort creates a paradigm for solving shape-related problems in Pattern Recognition, Computer Vision, and Image Understanding in a conceptually cohesive and algorithmically amenable manner. The research aims to develop an advanced image analysis capability at LANL for solving a wide range of problems in automated facility surveillance, nuclear materials monitoring, treaty verification, and container inspection and tracking. The research provides the scientific underpinnings that will enable us to build smart surveillance cameras, with a direct practical impact on LANL's capabilities in domestic and international safeguards and security.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 976197
- Report Number(s):
- LA-UR-02-3399; TRN: US1002874
- Resource Relation:
- Conference: Submitted to: Institute of Nuclear Materials Management Conference, June 2002, Orlando, FL.
- Country of Publication:
- United States
- Language:
- English
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