Title: Object detection by contour segment networks
Authors: Ferrari, V ×
Tuytelaars, Tinne
Van Gool, Luc #
Issue Date: 2006
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:3953 pages:14-28
Conference: 9th European Conference on Computer Vision (ECCV 2006) location:Graz, AUSTRIA date:07-13 May 2006
Abstract: We propose a method for object detection in cluttered real images, given a single hand-drawn example as model. The image edges are partitioned into contour segments and organized in an image representation which encodes their interconnections: the Contour Segment Network. The object detection problem is formulated as finding paths through the network resembling the model outlines, and a computationally efficient detection technique is presented. An extensive experimental evaluation on detecting five diverse object classes over hundreds of images demonstrates that our method works in very cluttered images, allows for scale changes and considerable intra-class shape variation, is robust to interrupted contours, and is computationally efficient.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

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