Silhouette based gait recognition [electronic resource] : research resource and limits / by Laura Helena Malavé.
ABSTRACT: As is seen from the work on gait recognition, there is a de-facto consensus about the silhouette of a person being the low-level representation of choice. It has been hypothesized that the performance degradation that is observed when one compares sequences taken on different surfaces, hence against different backgrounds, or when one considers outdoor sequences is due to the low silhouette quality and its variation. If only one can get better silhouettes the perfomance of gait recognition would be high. This thesis challenges that hypothesis. In the context of the HumanID Gait Challenge problem, we constructed a set of ground truth silhouttes over one gait cycles for 71 subjects, to test recognition across two conditions, shoe and surface. Using these, we show that the performance with ground truth silhouette is as good as that obtained by those obtained by a basic background subtraction algorithm.
School:University of South Florida
School Location:USA - Florida
Source Type:Master's Thesis
Keywords:biometrics identification surveillance computer vision motion analysis image processing dissertations academic usf science masters
Date of Publication:01/01/2003