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NCJRS Abstract

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NCJ Number: 229282 Find in a Library
Title: Upper-Bounding the Incidence Rate of Associations Between Camouflage Uniforms and Surveillance Images
Journal: Journal of Forensic Sciences  Volume:54  Issue:6  Dated:November 2009  Pages:1393-1406
Author(s): Norman Adams, Ph.D.; Victor Perlin, Ph.D.; Mitchell Rohde, Ph.D.; Robert Gaffney, M.F.S., M.B.A.; Natalia Harmsen, B.S.; Carl Kriigel, B.S.
Date Published: November 2009
Page Count: 14
Sponsoring Agency: U.S. Technical Support Working Group (TSWG)
Type: Report (Study/Research)
Format: Article
Language: English
Country: United States of America
Annotation: This paper presents a statistical model for computing the incidence rate for associations between a camouflage garment depicted in surveillance images and a garment seized from a suspect.
Abstract: The suspect’s camouflage garment and the garment worn by the perpetrator captured by a surveillance camera can be matched only if specific unique characteristic of the two garments can be identified. Matches may be made based on unique characteristics, such as wear marks and stitching patterns; however, most “new” garments are indistinguishable from all other new garments of the same type and size, rendering them of little evidentiary value. For criminal investigations that involve military personnel, however, the widespread use of standard-issue camouflage uniforms is a unique circumstance in which statistical garment association is feasible. In such a case, the garments are well specified, and the manufacturing process is standardized. This makes it possible to develop a statistical model that accounts for all significant sources of variation in the garment. The single most significant parameter in the statistical model developed is whether or not the two garments analyzed were manufactured with the same or similar markers. If the two garments can reasonably be assumed to come from independent markers, then the probability of an accidental match becomes negligible so long as three or more pieces are observed with reasonable precision in the surveillance image. Under the proposed model, an upper-bound on the incidence rate is calculated, which is compatible with current practices in evaluating statistical evidence in forensic science. The statistical model was developed for U.S. Army digital camouflage uniforms for forensic investigations by the U.S. Army Criminal Investigation Laboratory; however, the model can be used in any investigation that involves surveillance images of camouflage garments in which the camouflage pattern and garment manufacturing parameters are known. 2 tables, 12 figures, and 18 references
Main Term(s): Criminology
Index Term(s): Forensic sciences; Investigative techniques; Military crime; Suspect identification; Uniform clothing; Visual electronic surveillance
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