People re-identification by graph kernels methods
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
A graph-kernel method for re-identification
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Boosted human re-identification using Riemannian manifolds
Image and Vision Computing
Part-based spatio-temporal model for multi-person re-identification
Pattern Recognition Letters
Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Set based discriminative ranking for recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Learning to match appearances by correlations in a covariance metric space
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Learning implicit transfer for person re-identification
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Towards person identification and re-identification with attributes
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Symmetry-driven accumulation of local features for human characterization and re-identification
Computer Vision and Image Understanding
Local distance comparison for multiple-shot people re-identification
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Domain transfer for person re-identification
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Editor's Choice Article: A survey of approaches and trends in person re-identification
Image and Vision Computing
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In this paper, we propose a novel appearance-based method for person re-identification, that condenses a set of frames of the same individual into a highly informative signature, called Histogram Plus Epitome, HPE. It incorporates complementary global and local statistical descriptions of the human appearance, focusing on the overall chromatic content, via histograms representation, and on the presence of recurrent local patches, via epitome estimation. The matching of HPEs provides optimal performances against low resolution, occlusions, pose and illumination variations, defining novel state-of-the-art results on all the datasets considered.