1 September 2017 Automatic gang graffiti recognition and interpretation
Author Affiliations +
J. of Electronic Imaging, 26(5), 051409 (2017). doi:10.1117/1.JEI.26.5.051409
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.
© 2017 SPIE and IS&T
Albert Parra, Mireille Boutin, Edward J. Delp, "Automatic gang graffiti recognition and interpretation," Journal of Electronic Imaging 26(5), 051409 (1 September 2017). http://dx.doi.org/10.1117/1.JEI.26.5.051409 Submission: Received 16 January 2017; Accepted 28 July 2017
Submission: Received 16 January 2017; Accepted 28 July 2017

Image segmentation

Image retrieval


Feature extraction

Image enhancement

Color image segmentation

Image analysis


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