NDLI: Person Detection and Re-identification Across Multiple Images and Videos Obtained via Crowdsourcing

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Person Detection and Re-identification Across Multiple Images and Videos Obtained via Crowdsourcing

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Person Detection and Re-identification Across Multiple Images and Videos Obtained via Crowdsourcing

Content Provider	ACM Digital Library
Author	Chen, ZhenhuaJimmy Tang, Jian Zheng, Yu Velipasalar, Senem
Abstract	Person re-identification is indispensable for consistent labeling across different camera views. Most existing studies use static cameras, apply background subtraction to detect moving people, and then focus on the matching of detection results. However, if cameras are mobile or only single image frames (not videos) are available, then background subtraction cannot be used, and human detection needs to be performed on entire images. In this paper, different from most of the existing work, we focus on a crowdsourcing scenario to find and follow person(s) of interest in the collected images/videos. We propose a novel approach combining R-CNN based person detection with the GPU implementation of color histogram and SURF-based re-identification. Moreover, GeoTags are extracted from the EXIF data of videos captured by smart phones, and are displayed on a map together with the time-stamps. All the processing is performed on a GPU, and the average processing time is 5 ms per frame.
Starting Page	178
Ending Page	183
Page Count	6
File Format	PDF
ISBN	9781450347860
DOI	10.1145/2967413.2967421
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-12
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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