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People re-identification in a camera network
(University of Missouri--Columbia, 2012)
In this research, we present an appearance based method for people re-identification. It consists in the extraction of two types of features related to human appearance, color histograms and SIFT features. Images are ...
People re-identification over non-overlapping camera views
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Person re-identification is a computer vision task of recognizing an individual from similar background across non-overlapping camera views. In this ...
Geometric image segmentation via transform invariant rank cuts
(University of Missouri--Columbia, 2012)
This research propose a novel image segmentation algorithm, named as Transform Invariant Rank Cuts (TIRC). Based on salient 3D geometric information of natural scenes. The segmentation algorithm unities an emerging robust ...
Action recognition via sequence embedding
(University of Missouri--Columbia, 2011)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] A comb structural exemplar embedding based approach is introduced for action recognition. We propose a new framework to represent an action as a weak ...
Object detection with large intra-class variation
(University of Missouri--Columbia, 2011)
For object detection, the state-of-the-art performance is achieved through supervised learning. The performances of object detectors of this kind are mainly determined by two factors: features and underlying classification ...