A video analysis framework for soft biometry security surveillance
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Computer Vision and Image Understanding
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
On fast surface reconstruction methods for large and noisy point clouds
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
SARC3D: a new 3D body model for people tracking and re-identification
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Object recognition with hierarchical kernel descriptors
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Person re-identification by probabilistic relative distance comparison
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Learning articulated body models for people re-identification
Proceedings of the 21st ACM international conference on Multimedia
People reidentification in surveillance and forensics: A survey
ACM Computing Surveys (CSUR)
Editor's Choice Article: A survey of approaches and trends in person re-identification
Image and Vision Computing
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People re-identification is a fundamental operation for any multi-camera surveillance scenario. Until now, it has been performed by exploiting primarily appearance cues, hypothesizing that the individuals cannot change their clothes. In this paper, we relax this constraint by presenting a set of 3D soft-biometric cues, being insensitive to appearance variations, that are gathered using RGB-D technology. The joint use of these characteristics provides encouraging performances on a benchmark of 79 people, that have been captured in different days and with different clothing. This promotes a novel research direction for the re-identification community, supported also by the fact that a new brand of affordable RGB-D cameras have recently invaded the worldwide market.