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People Locator® for Disasters

lost person finder logog
Project information

The People Locator® (PL) is a Web system that enables family, friends and neighbors to locate or report missing people during a disaster event. Reporting and searching is done via a website and/or an app. 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 PL database and retrieve the information in formats designed for multiple devices.  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 Walter Reed National Military Medical Center, and Suburban Hospital, LHNCBC and NLM were participants in the Bethesda Hospital Emergency Preparedness Partnership (BHEPP) under whose auspices this project was initiated.  Under the BHEPP forum, participation during multiple emergency management drills took place with a hospital-centric version of the system. For the community version of this system, the first event was activated in January 2010 and the last event was launched in August 2018. Over 60 public emergency events were responded to by the end of the project.

The project code is open source and can be found here: People Locator, ReUnite iOSReUnite Android, TriagePic iOS, TriagePic Android, TriagePic Winstore, FaceMatch 1, FaceMatch 2, FaceFinder Android, PLIET, and Image List Browser.

Datasheets and FAQ can be found here: People Locator, ReUnite, Triagepic, Triagetrak, Frequently Asked Questions

Below is a video produced to promote BHEPP:

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.
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. 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.
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 [Poster]. 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 [Poster]. 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.

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