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Comparative evaluation of pedestrian detection methods for mobile bus surveillance

Leoputra, Wilson S., Venkatesh, Svetha and Tan, Tele 2009, Comparative evaluation of pedestrian detection methods for mobile bus surveillance, in ICASSP 2009 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Piscataway, N. J., pp. 3525-3528.

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Title Comparative evaluation of pedestrian detection methods for mobile bus surveillance
Author(s) Leoputra, Wilson S.
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Tan, Tele
Conference name IEEE International Conference on Acoustics, Speech, and Signal Processing (2009 : Taipei, Taiwan)
Conference location Taipei, Taiwan
Conference dates 19-24 Apr. 2009
Title of proceedings ICASSP 2009 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
Editor(s) [Unknown]
Publication date 2009
Conference series IEEE International Conference on Acoustics, Speech, and Signal Processing
Start page 3525
End page 3528
Total pages 4
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) distributed mobile sensors
large scale urban surveillance
pedestrian detection
Summary We present a comparative evaluation of the state-of-art algorithms for detecting pedestrians in low frame rate and low resolution footage acquired by mobile sensors. Four approaches are compared: a) The Histogram of Oriented Gradient (HoG) approach [1]; b) A new histogram feature that is formed by the weighted sum of both the gradient magnitude and the filter responses from a set of elongated Gaussian filters [2] corresponding to the quantised orientation, called Histogram of Oriented Gradient Banks (HoGB) approach; c) The codebook based HoG feature with branch-and-bound (efficient subwindow search) algorithm [3] and; d) The codebook based HoGB approach. Results show that the HoG based detector achieves the highest performance in terms of the true positive detection, the HoGB approach has the lowest false positives whilst maintaining a comparable true positive rate to the HoG, and the codebook approaches allow computationally efficient detection.
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ISBN 1424423538
9781424423538
ISSN 1520-6149
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2009, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044561

Document type: Conference Paper
Collections: School of Information Technology
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