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Type: Report
Title: Object detection by global contour shape
Author: Schindler, Konrad
Suter, David
Publisher: Monash University
Issue Date: 2006
Series/Report no.: Technical Report; MECSE-28-2006
School/Discipline: School of Computer Science
Statement of
Konrad Schindler and David Suter
Abstract: We present a method for object detection based on global shape. A distance measure for elastic shape matching is derived, which is invariant to scale and rotation, and robust against nonparametric deformations. Starting from an over-segmentation of the image, the space of potential object boundaries is explored to find boundaries, which have high similarity with the shape template of the object class to be detected. An extensive experimental evaluation is presented. The approach achieves a remarkable detection rate of 91% at 0.2 false positives per image on a challenging data set.
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Appears in Collections:Computer Science publications

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