@INPROCEEDINGS{1456Eiselein2014,
	AUTHOR = {Volker Eiselein and Gleb Sternharz and Tobias Senst and Ivo Keller and Thomas Sikora},
	TITLE = {Person re-Identification using Region Covariance in a Multi-feature Approach},
	BOOKTITLE = {International Conference on Image Analysis and Recognition (ICIAR) 2014},
	YEAR = {2014},
	MONTH = oct,
	URL = {http://link.springer.com/chapter/10.1007%2F978-3-319-11755-3_9#page-1},
	ABSTRACT = {Person re-identification is an important requirement for modern  video  surveillance  systems  and  relevant  for  human  tracking,  especially  over  camera  networks.  Many  different  approaches  have  been proposed but a robust identification under real-life conditions still remains hard. In this paper we investigate the fusion of multiple person descriptors in order to increase the performance using complementary feature vectors. As an additional improvement to state-of-the-art region covariance descriptors, an extension of the comparison metric is proposed which increases the robustness and performance of the system in cases of rank deficiency. The proposed system is evaluated on the well-known benchmarks CAVIAR4REID, VIPeR, ETHZ and PRID 2011 and shows significant improvements over existing re-identification algorithms.}
}