logo Idiap Research Institute        
 [BibTeX] [Marc21]
Leveraging Colour Segmentation for Upper-Body Detection
Type of publication: Journal paper
Citation: Duffner_PR_2014
Publication status: Published
Journal: Pattern Recognition
Volume: 47
Number: 6
Year: 2014
Pages: 2222-2230
Abstract: This paper presents an upper-body detection algorithm that extends classical shape-based detectors through the use of additional semantic colour segmentation cues. More precisely, candidate upper-body image patches produced by a base detector are soft-segmented using a multi-class probabilistic colour segmentation algorithm that leverages spatial as well as colour prior distributions for different semantic object regions (skin, hair, clothing, background). These multi-class soft segmentation maps are then classified as true or false upper-bodies. By further fusing the score of this latter classifier with the base detection score, the method shows a performance improvement on three different public datasets and using two different upper-body base detectors, demonstrating the complementarity of the contextual semantic colour segmentation and the base detector.
Projects Idiap
Authors Duffner, Stefan
Odobez, Jean-Marc
Added by: [UNK]
Total mark: 0
  • Duffner_PR_2014.pdf