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Person reidentification using quaternionic local binary pattern
Lan R.; Zhou Y.; Tang Y.Y.; Chen C.L.P.
Conference NameIEEE International Conference on Multimedia and Expo Workshops (ICMEW)
Source PublicationProceedings - IEEE International Conference on Multimedia and Expo
Conference DateJUL 14-18, 2014
Conference PlaceChengdu, PEOPLES R CHINA

Person reidentification is to identify the persons observed in nonoverlapping camera networks. Most existing methods usually extract features from the red, green, and blue color channels of images individually. They, however, neglect the connections between each color component in the image. To overcome this problem, a novel quaternionic local binary pattern (QLBP) is proposed for person reidentification in this paper. In the proposed QLBP, each pixel in a color image is represented by a quaternion so that we can handle all color components in a holistic way. A novel pseudo-rotation of quaternion (PRQ) is proposed to rank two quaternions. Some properties of PRQ are also discussed. After a QLBP coding, the local histograms are extracted and used as features. Experiments on two public benchmarking datasets, ETHZ and i-LIDS MCTS, are carried out to evaluate the QLBP performance. Comparison results show that the QLBP outperforms several stat-of-art methods for person reidentification.

KeywordFeature Extraction Local Binary Pattern Person Reidentification Quaternion
URLView the original
Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000360831800136
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionFaculty of Science and Technology
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Lan R.,Zhou Y.,Tang Y.Y.,et al. Person reidentification using quaternionic local binary pattern[C],2014.
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