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People Locator® for Disasters

The People Locator® is a Web system that enables family, friends and neighbors to locate or report missing people during a disaster event. It utilizes a "Disaster Patient Data Exchange" database containing data from the IT systems of local hospitals and additional input is expected from triage area cell phones and social networks.

In a disaster, this system can facilitate family reunification, help provide reassurance, enhance coordination with disaster-responding NGOs, and alleviate some of the workload on public-health personnel and other responders who interact with the community. Those looking for friends or family members can search the PF database and retrieve the information in formats designed for multiple devices. In addition, the system can display pictures and other information on missing persons on large monitors placed at key public locations.

This project is one of several LHNCBC has undertaken to address emergency conditions in the event of a disaster. Along with the National Institutes of Health's Clinical Center, the National Naval Medical Center, and Suburban Hospital, LHNCBC and NLM are participants in the Bethesda Hospital Emergency Preparedness Partnership (BHEPP), under whose auspices these projects are conducted.

Publications/Tools: 
Borovikov E, Vajda S, Gill MJ. Face Match for Family Reunification: Real-World Face Image Retrieval International Journal of Computer Vision and Image Processing. DOI: 10.4018/IJCVIP.2017040102.
Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R) Dec, 16-17, 2016, Bidar, Karnataka, India.
Borovikov E, Vajda S, Lingappa G, Bonifant MC. Parallel Computing in Face Image Retrieval: Practical Approach to the Real-World Image Search. Multi-Core Computer Vision and Image Processing for Intelligent Applications. IGI Global, 2017. 155-189. Web. 12 Sep. 2016. doi:10.4018/978-1-5225-0889-2.ch006
Borovikov E, Bonifant MC, Lingappa G, Gill MJ, Thoma GR. FaceMatch: a visual search system for family reunification during disasters. NIH Research Festival, September 2016
Candemir S, Borovikov E, KC S, Antani SK, Thoma GR. RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing, Volume 42, October 2015, Pages 1-12, ISSN 0262-8856. doi:10.1016/j.imavis.2015.06.010.
Borovikov E, Vajda S, Lingappa G, Candemir S, Antani SK, Gill MJ, Thoma GR. FaceMatch: visual search of missing persons during a disaster event. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
Borovikov E, Vajda S, Lingappa G, Antani SK, Thoma GR. Face matching for post-disaster family reunification. IEEE International Conference on Healthcare Informatics. Philadelphia, PA, USA. September 2013.
Pearson G, Gill MJ, Antani SK, Neve L, Miernicki G, Phichaphop K, Kanduru A, Jaeger S, Thoma GR. The Role of Location For Family Reunification During Disasters. HealthGIS 2012. Redondo Beach, CA. November 2012.
Borovikov E. FaceMatch: visual search for pictures of missing persons during a disaster event. NIH Research Festival. October 2012.
Borovikov E, Lingappa G. Face matching in Lost Person Finder Project. CEB Technical Report. January 2012.

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