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Comparative evaluation of pedestrian detection methods for mobile bus surveillance

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conference contribution
posted on 2009-01-01, 00:00 authored by W Leoputra, Svetha VenkateshSvetha Venkatesh, T Tan
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.

History

Pagination

3525 - 3528

Location

Taipei, Taiwan

Open access

  • Yes

Start date

2009-04-19

End date

2009-04-24

ISSN

1520-6149

ISBN-13

9781424423538

ISBN-10

1424423538

Language

eng

Notes

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Publication classification

E1.1 Full written paper - refereed

Copyright notice

2009, IEEE

Title of proceedings

ICASSP 2009 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing

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