Impostor Resilient Multimodal Metric Learning for Person Reidentification
Joint Authors
Syed, Muhamamd Adnan
Han, Zhenjun
Li, Zhaoju
Jiao, Jianbin
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In person reidentification distance metric learning suffers a great challenge from impostor persons.
Mostly, distance metrics are learned by maximizing the similarity between positive pair against impostors that lie on different transform modals.
In addition, these impostors are obtained from Gallery view for query sample only, while the Gallery sample is totally ignored.
In real world, a given pair of query and Gallery experience different changes in pose, viewpoint, and lighting.
Thus, impostors only from Gallery view can not optimally maximize their similarity.
Therefore, to resolve these issues we have proposed an impostor resilient multimodal metric (IRM3).
IRM3 is learned for each modal transform in the image space and uses impostors from both Probe and Gallery views to effectively restrict large number of impostors.
Learned IRM3 is then evaluated on three benchmark datasets, VIPeR, CUHK01, and CUHK03, and shows significant improvement in performance compared to many previous approaches.
American Psychological Association (APA)
Syed, Muhamamd Adnan& Han, Zhenjun& Li, Zhaoju& Jiao, Jianbin. 2018. Impostor Resilient Multimodal Metric Learning for Person Reidentification. Advances in Multimedia،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1118408
Modern Language Association (MLA)
Syed, Muhamamd Adnan…[et al.]. Impostor Resilient Multimodal Metric Learning for Person Reidentification. Advances in Multimedia No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1118408
American Medical Association (AMA)
Syed, Muhamamd Adnan& Han, Zhenjun& Li, Zhaoju& Jiao, Jianbin. Impostor Resilient Multimodal Metric Learning for Person Reidentification. Advances in Multimedia. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1118408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118408