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Proceedings Paper

Dismounted human detection at long ranges
Author(s): Amy E. Bell
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Paper Abstract

This research investigates the automatic detection of a dismounted human from a single image as a function of range. The histogram of oriented gradients (HOG) method provides the feature vector and a support vector machine performs the classification. This work presents, for the first time, an understanding of how HOG for human detection holds up as range increases. The results indicate that HOG remains effective even at long distances; for example, the average miss rate and false alarm rate were both kept to 5% for humans only 12 pixels high and 4-5 pixels wide. The impact of the amount and type of training data needed to achieve this long-range performance is examined.

Paper Details

Date Published: 19 May 2011
PDF: 7 pages
Proc. SPIE 8049, Automatic Target Recognition XXI, 80490J (19 May 2011); doi: 10.1117/12.883489
Show Author Affiliations
Amy E. Bell, Institute for Defense Analyses (United States)


Published in SPIE Proceedings Vol. 8049:
Automatic Target Recognition XXI
Firooz A. Sadjadi; Abhijit Mahalanobis, Editor(s)

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