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  1. International Journal of Intelligent Transportation Systems Research
  2. International Journal of Intelligent Transportation Systems Research : Volume 8
  3. International Journal of Intelligent Transportation Systems Research : Volume 8, Issue 1, January 2010
  4. Pedestrian Tracking Across Panning Camera Network
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International Journal of Intelligent Transportation Systems Research : Volume 15
International Journal of Intelligent Transportation Systems Research : Volume 14
International Journal of Intelligent Transportation Systems Research : Volume 13
International Journal of Intelligent Transportation Systems Research : Volume 12
International Journal of Intelligent Transportation Systems Research : Volume 11
International Journal of Intelligent Transportation Systems Research : Volume 10
International Journal of Intelligent Transportation Systems Research : Volume 9
International Journal of Intelligent Transportation Systems Research : Volume 8
International Journal of Intelligent Transportation Systems Research : Volume 8, Issue 3, October 2010
International Journal of Intelligent Transportation Systems Research : Volume 8, Issue 2, May 2010
International Journal of Intelligent Transportation Systems Research : Volume 8, Issue 1, January 2010
Traction Control for EV Based on Maximum Transmissible Torque Estimation
Pedestrian Tracking Across Panning Camera Network
Performance Evaluation of a Crossing-Assistance System for Visually Disabled Persons at Intersections Considering Actual Road Structure
A Model for Intelligent Transportation of Perishable Products
A Sampling-based Approximation Method Applied to Stochastic Real-Time Emergency Rehabilitation Scheduling Problem
Traffic Control: Current Systems and Future Vision of Cities

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Pedestrian Tracking Across Panning Camera Network

Content Provider SpringerLink
Author Hyodo, Yasuhide Fujimura, Kaichi Naito, Takeshi Kamijo, Shunsuke
Copyright Year 2010
Abstract Video surveillance technology is getting important today, in order to maintain the safety of pedestrians passing through public spaces. Tracking pedestrians across the camera network is important to understand each pedestrian’s behavior from the image sequence of a long period. For that purpose, we developed an occlusion robust tracking algorithm of pedestrians in the panning images by the combination between the S-T MRF model and pattern recognition methods of Snakes and HOG classifier. Tracking in panning images would extend the field of view of single camera. In addition, we developed an algorithm to match pedestrians between cameras which have overlapping area with each other in their field of view. Finally, the tracking algorithm in panning images and the pedestrian matching algorithm between the overlapping images were combined to extend the area of pedestrian surveillance.
Starting Page 10
Ending Page 25
Page Count 16
File Format PDF
ISSN 13488503
Journal International Journal of Intelligent Transportation Systems Research
Volume Number 8
Issue Number 1
e-ISSN 18688659
Language English
Publisher Springer US
Publisher Date 2010-02-02
Publisher Place Boston
Access Restriction Subscribed
Subject Keyword Video Surveillance Pedestrian tracking Occlusion Panning camera The S-T MRF model User Interfaces and Human Computer Interaction Civil Engineering Computer Imaging, Vision, Pattern Recognition and Graphics Robotics and Automation Automotive Engineering Electrical Engineering
Content Type Text
Resource Type Article
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