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Article
Local intensity distribution descriptor for object detection
Faculty of Engineering - Papers (Archive)
  • D Nguyen, University of Wollongong
  • Wanqing Li, University of Wollongong
  • P Ogunbona, University of Wollongong
RIS ID
42630
Publication Date
1-1-2011
Publication Details

Nguyen, D., Li, W. & Ogunbona, P. (2011). Local intensity distribution descriptor for object detection. Electronics Letters, 47 (5), 321-322.

Abstract

A novel local intensity distribution (LID) descriptor for object detection is proposed. By capturing the distribution of local intensity difference effectively, the LIS descriptor is insensitive to illumination changes while being more compact and discriminative compared with the popular local binary pattern. Two LID descriptors can be efficiently compared using the Kullback-Leibler distance. The efficacy and efficiency of the proposed descriptor have been verified in the task of detecting humans from static images.

Disciplines
Citation Information
D Nguyen, Wanqing Li and P Ogunbona. "Local intensity distribution descriptor for object detection" (2011) p. 321 - 322
Available at: http://works.bepress.com/p_ogunbona/34/