High resolution 3D insider detection and tracking. | |
Nelson, Cynthia Lee | |
Sandia National Laboratories | |
关键词: Motion Detection Systems; Public Utilities-Vulnerability; Terrorism-Vulnerability-Analysis.; Cameras; 98 Nuclear Disarmament, Safeguards, And Physical Protection; | |
DOI : 10.2172/875974 RP-ID : SAND2003-3385 RP-ID : AC04-94AL85000 RP-ID : 875974 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
Vulnerability analysis studies show that one of the worst threats against a facility is that of an active insider during an emergency evacuation. When a criticality or other emergency alarm occurs, employees immediately proceed along evacuation routes to designated areas. Procedures are then implemented to account for all material, classified parts, etc. The 3-Dimensional Video Motion Detection (3DVMD) technology could be used to detect and track possible insider activities during alarm situations, as just described, as well as during normal operating conditions. The 3DVMD technology uses multiple cameras to create 3-dimensional detection volumes or zones. Movement throughout detection zones is tracked and high-level information, such as the number of people and their direction of motion, is extracted. In the described alarm scenario, deviances of evacuation procedures taken by an individual could be immediately detected and relayed to a central alarm station. The insider could be tracked and any protected items removed from the area could be flagged. The 3DVMD technology could also be used to monitor such items as machines that are used to build classified parts. During an alarm, detections could be made if items were removed from the machine. Overall, the use of 3DVMD technology during emergency evacuations would help to prevent the loss of classified items and would speed recovery from emergency situations. Further security could also be added by analyzing tracked behavior (motion) as it corresponds to predicted behavior, e.g., behavior corresponding with the execution of required procedures. This information would be valuable for detecting a possible insider not only during emergency situations, but also during times of normal operation.
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875974.pdf | 2459KB | download |