NDLI: On-Road Pedestrian Tracking Across Multiple Driving Recorders

Content Provider	IEEE Xplore Digital Library
Author	Kuan-Hui Lee Jenq-Neng Hwang
Copyright Year	1999
Abstract	In this paper, we propose a new framework to track on-road pedestrians across multiple driving recorders. The framework is built upon the results of tracking under a single driving recorder. More specifically, we treat the problem as a multi-label classification task and determine whether a specific pedestrian belongs to one or several cameras' field of views by considering association likelihood of the tracked pedestrians . The likelihood is calculated based on the pedestrians' motion cues and appearance features, which are necessarily transformed via brightness transfer functions obtained by some available spatially overlapping views for compensating diversity of the cameras. When a pedestrian is leaving a camera's field of view, the proposed framework predicts and interpolates its possible moving trajectories, facilitated by open map service which can provide routing information. Experimental results show the robustness and effectiveness of the proposed framework in tracking pedestrians across several recorded driving videos. Moreover, based on the GPS locations, we can also reconstruct a 3-D visualization on a 3-D virtual real-world environment, so as to show the dynamic scenes of the recorded videos.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	1429
Ending Page	1438
Page Count	10
File Size	1803858
File Format	PDF
ISSN	15209210
Volume Number	17
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Videos Target tracking Global Positioning System Surveillance Visualization visual surveillance 3-D visualization multi-label classification pedestrian tracking
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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