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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
Citation: 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.
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
ISBN: 1424417643
ISSN: 15224880
DOI: 10.1109/ICIP.2008.4712043
Appears in Collections:Staff Publications

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