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IBPRIA
2005
Springer

An Approach to Vision-Based Person Detection in Robotic Applications

10 years 4 months ago
An Approach to Vision-Based Person Detection in Robotic Applications
We present an approach to vision-based person detection in robotic applications that integrates top down template matching with bottom up classifiers. We detect components of the human silhouette, such as torso and legs; this approach provides greater invariance than monolithic methods to the wide variety of poses a person can be in. We detect borders on each image, then apply a distance transform, and then match templates at different scales. This matching process generates a focus of attention (candidate people) that are later confirmed using a trained Support Vector Machine (SVM) classifier. Our results show that this method is both fast and precise and directly applicable in robotic architectures.
Carlos D. Castillo, Carolina Chang
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IBPRIA
Authors Carlos D. Castillo, Carolina Chang
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