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Journal of Electronic Imaging

Automatic gang graffiti recognition and interpretation
Author(s): Albert Parra; Mireille Boutin; Edward J. Delp
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Paper Abstract

One of the roles of emergency first responders (e.g., police and fire departments) is to prevent and protect against events that can jeopardize the safety and well-being of a community. In the case of criminal gang activity, tools are needed for finding, documenting, and taking the necessary actions to mitigate the problem or issue. We describe an integrated mobile-based system capable of using location-based services, combined with image analysis, to track and analyze gang activity through the acquisition, indexing, and recognition of gang graffiti images. This approach uses image analysis methods for color recognition, image segmentation, and image retrieval and classification. A database of gang graffiti images is described that includes not only the images but also metadata related to the images, such as date and time, geoposition, gang, gang member, colors, and symbols. The user can then query the data in a useful manner. We have implemented these features both as applications for Android and iOS hand-held devices and as a web-based interface.

Paper Details

Date Published: 1 September 2017
PDF: 22 pages
J. Electron. Imag. 26(5) 051409 doi: 10.1117/1.JEI.26.5.051409
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
Albert Parra, Purdue Univ. (United States)
Mireille Boutin, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


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