Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2008.4712043
Title: Using color bin images for crowd detections
Authors: Sim, C.-H.
Rajmadhan, E.
Ranganath, S. 
Keywords: Cascade of boosted classifiers
Color bin images
Dense crowds
Individual detection
Viola-type detector
Issue Date: 2008
Source: Sim, C.-H., Rajmadhan, E., Ranganath, S. (2008). Using color bin images for crowd detections. Proceedings - International Conference on Image Processing, ICIP : 1468-1471. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2008.4712043
Abstract: In this paper, we propose a method to reduce the false alarm rate or alternatively to improve the detection rate of a local detector for individuals within dense crowds. The detected windows from a Viola-type head detector are processed in a second pass by a cascade of boosted classifiers working with Haar-like features to improve performance. The latter classifier uses color bin images, constructed from normalized rg color histograms of detected windows. Experimental results show a reduction in false alarm rate from 35.9% obtained by the basic detector to 23.9% after the second pass with our approach. This high reduction in false alarm rate was accompanied by only a small reduction in true detections from 87.3% to 82.5%. © 2008 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/72135
ISBN: 1424417643
ISSN: 15224880
DOI: 10.1109/ICIP.2008.4712043
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

2
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

1
checked on Nov 21, 2017

Page view(s)

30
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.