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WACV
2005
IEEE

Learning the Behavior of Users in a Public Space through Video Tracking

9 years 5 months ago
Learning the Behavior of Users in a Public Space through Video Tracking
The paper describes a video tracking system that tracks and analyzes the behavioral pattern of users in a public space. We have obtained important statistical measurements about users’ behavior, which can be used to evaluate architectural design in terms of human spatial behavior and model the behavior of users in public spaces. Previously, such measurements could only be obtained through costly manual processes, e.g. behavioral mapping and time-lapse filming with human examiners. Our system has automated the process of analyzing the behavior of users. The system consists of a head detector for detecting people in each single frame of the video and data association for tracking people through frames. We compared the results obtained using our system with those obtained by manual counting, for a small data set, and found the results to be fairly accurate. We then applied the system to a large-scale data set and obtained substantial statistical measurements of parameters such as the t...
Wei Yan, David A. Forsyth
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where WACV
Authors Wei Yan, David A. Forsyth
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