Lost Person Finder 

People Locator For Disasters

The goal of the LPF project is to investigate solutions for speeding family reunification during and after mass casualty events so that family, friends and neighbors can rapidly locate and reunite with missing people during and after a disaster event.

Seekers will be able to search the LPF database, and retrieve the information on desktop and handheld computers. In addition, the system will display pictures and other information on missing persons on large monitors placed at key public locations.

This project, conducted by CEB, is one of several undertaken by the NLM 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, NLM is a participant in the Bethesda Hospital Emergency Preparedness Partnership (BHEPP), under whose auspices these projects are conducted.

In a disaster, this system can help provide reassurance, facilitate family reunification, enhance coordination with disaster-responding NGOs, and alleviate some of the workload on public-health personnel and other responders who interact with the community.

Publications/Tools

Misra D, Gill MJ. FaceMatch: A System for Dynamic Search and Retrieval of Faces. Proc. Archiving 2018. Washington DC. pp. 53-57. DOI: 10.2352/issn.2168-3204.2018.1.0.12.
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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.
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Borovikov E, Bonifant MC, Lingappa G, Gill MJ, Thoma GR. FaceMatch: a visual search system for family reunification during disasters [Poster]. NIH Research Festival, September 2016
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Borovikov E, Vajda S. FaceMatch: real-world face image retrieval. In: Santosh K., Hangarge M., Bevilacqua V., Negi A. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2016. Communications in Computer and Information Science, vol 709. Springer, Singapore. 405-419.
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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
Abstract | URL: http://www.igi-global.com/chapter/parallel-computing-in-face-image-retrieval/163…

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.
Abstract | PDF | URL: http://www.sciencedirect.com/science/article/pii/S0262885615000797#

Borovikov E, Lingappa G. Face matching in Lost Person Finder Project. CEB Technical Report. January 2012.
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Borovikov E. FaceMatch: visual search for pictures of missing persons during a disaster event. NIH Research Festival. October 2012.
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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.
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Borovikov E, Vajda S, Lingappa G, Candemir S, Antani SK, Gill MJ, Thoma GR. FaceMatch: visual search of missing persons during a disaster event [Poster]. NIH Intramural Research Festival, Bethesda MD, November 6-8, 2013.
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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.
Abstract | PDF | URL: http://sysrun.haifa.il.ibm.com/hrl/healthgis2012/papers/healthgis-02.pdf

Gill MJ, Pearson G, Neve L, Miernicki G, Antani SK, Thoma GR. Mobile App: ReUnite iOS app
Abstract