Learning the behavior of users in a public space through video tracking

Wei Yan, D. A. Forsyth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 total number of users who entered the space, the total number of users who sat by a fountain, the time that each spent by the fountain, etc. These statistics allow fundamental rethinking of the way people use a public space This research is a novel application of computer vision in evaluating architectural design in terms of human behavior.

Original languageEnglish (US)
Title of host publicationProceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005
PublisherIEEE Computer Society
Pages370-377
Number of pages8
ISBN (Print)0769522718, 9780769522715
DOIs
StatePublished - Jan 1 2005
Externally publishedYes
Event7th IEEE Workshop on Applications of Computer Vision, WACV 2005 - Breckenridge, CO, United States
Duration: Jan 5 2005Jan 7 2005

Publication series

NameProceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005

Other

Other7th IEEE Workshop on Applications of Computer Vision, WACV 2005
CountryUnited States
CityBreckenridge, CO
Period1/5/051/7/05

Fingerprint

Fountains
Architectural design
Space research
Computer vision
Statistics
Detectors

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Software

Cite this

Yan, W., & Forsyth, D. A. (2005). Learning the behavior of users in a public space through video tracking. In Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005 (pp. 370-377). [4129505] (Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005). IEEE Computer Society. https://doi.org/10.1109/ACVMOT.2005.67

Learning the behavior of users in a public space through video tracking. / Yan, Wei; Forsyth, D. A.

Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005. IEEE Computer Society, 2005. p. 370-377 4129505 (Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yan, W & Forsyth, DA 2005, Learning the behavior of users in a public space through video tracking. in Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005., 4129505, Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005, IEEE Computer Society, pp. 370-377, 7th IEEE Workshop on Applications of Computer Vision, WACV 2005, Breckenridge, CO, United States, 1/5/05. https://doi.org/10.1109/ACVMOT.2005.67
Yan W, Forsyth DA. Learning the behavior of users in a public space through video tracking. In Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005. IEEE Computer Society. 2005. p. 370-377. 4129505. (Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005). https://doi.org/10.1109/ACVMOT.2005.67
Yan, Wei ; Forsyth, D. A. / Learning the behavior of users in a public space through video tracking. Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005. IEEE Computer Society, 2005. pp. 370-377 (Proceedings - Seventh IEEE Workshop on Applications of Computer Vision, WACV 2005).
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