Review of person re-identification techniques

@article{Saghafi2014ReviewOP,
  title={Review of person re-identification techniques},
  author={Mohammad Ali Saghafi and Aini Hussain and Halimah Badioze Zaman and Mohamad Hanif Md. Saad},
  journal={ArXiv},
  year={2014},
  volume={abs/1511.02319}
}
Person re-identification across different surveillance cameras with disjoint fields of view has become one of the most interesting and challenging subjects in the area of intelligent video surveillance. Although several methods have been developed and proposed, certain limitations and unresolved issues remain. In all of the existing re-identification approaches, feature vectors are extracted from segmented still images or video frames. Different similarity or dissimilarity measures have been… 
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References

SHOWING 1-10 OF 129 REFERENCES
Appearance-Based Re-identification of Humans in Low-Resolution Videos Using Means of Covariance Descriptors
  • J. Metzler
  • Computer Science
    2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
  • 2012
TLDR
A whole-body appearance-based human re-identification approach for low-resolution videos is presented and a novel appearance model computed from several images of an individual is proposed based on means of covariance descriptors determined by spectral clustering techniques.
People re-identification in camera networks based on probabilistic color histograms
TLDR
The experimental results show that the defined descriptor is effective at discriminating and re-identifying people across two different video cameras regardless of the viewpoint change between the two views and outperforms state of the art appearance based techniques.
People Re-Identification by Means of a Camera Network Using a Graph-Based Approach
TLDR
A new feature called “color-position” histogram combined with several illuminant invariant methods in order to characterize extracted silhouettes in static images and a graph-based approach that characterizes the most useful information of video sequences is presented.
Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences
TLDR
A first experimental evaluation conducted on a publicly available set of low-resolution videos in a commercial mall shows very promising inter-camera person re-identification performances and the matching method is very fast, making re- identification among hundreds of persons computationally feasible in less than ~ 1/5 second.
Video Sequences Association for People Re-identification across Multiple Non-overlapping Cameras
TLDR
A graph-based approach which is capable of learning the global structure of the manifold and preserving the properties of the original data in a lower dimensional representation is introduced to reduce the effective working space and to realize the comparison of the video sequences.
Person Re-identification Using Haar-based and DCD-based Signature
TLDR
Two approaches for person re-identification problem are presented based onhaar-like features and dominant color descriptors and the AdaBoostscheme is applied to both descriptors to achieve invariant and discriminative signature.
Appearance-based person reidentification in camera networks: problem overview and current approaches
TLDR
Algorithms for speeding up the computation of signatures are discussed and very fast procedures for computing co-occurrence matrices are described by leveraging a generalization of the integral representation of images.
Person re-identification by symmetry-driven accumulation of local features
In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary aspects of the human appearance: the
Re-identify people in wide area camera network
  • N. Martinel, C. Micheloni
  • Computer Science
    2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
  • 2012
TLDR
A novel appearance-based method for person re-identification that computes a novel discriminative signature by exploiting multiple local features and a novel signature distance measure is given by exploiting a body part division approach.
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