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Title:

Simple and Model-Free Algorithm for Real-Time Pedestrian Detection and Tracking

Accession Number:

01043982

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Pedestrian monitoring is quickly becoming an avid area of interest as information regarding pedestrian flow is needed not only for developing competent access in particular urban corridors, but also system optimization scenarios, such as transit systems and intersection control optimization. In this paper, we present a simple, yet effective method for tracking pedestrian objects in a relatively large surveillance area, using ordinary CCTV cameras. Object extraction is accomplished via background subtraction, while tracking is accomplished through an inherent characteristic cost function. Composite objects are used as a means to deal with occlusions. The algorithm is implemented in a Pedestrian Tracking (PedTrack) system using Microsoft Visual C#. Tested with both synthetic and real video data, this system was proved to be reliable and about 80% pedestrian were assigned with correct IDs.

Monograph Accession #:

01042056

Report/Paper Numbers:

07-2941

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Malinovskiy, Yegor
Zheng, Jianyang
Wang, Yinhai

ORCID 0000-0002-4180-5628

Pagination:

14p

Publication Date:

2007

Conference:

Transportation Research Board 86th Annual Meeting

Location: Washington DC, United States
Date: 2007-1-21 to 2007-1-25
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Figures; Photos; References (12)

Subject Areas:

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2007 Paper #07-2941

Files:

TRIS, TRB

Created Date:

Feb 8 2007 7:39PM