Abstract
In this paper we explore ways to address the issue of dataset bias in person re-identification by using data augmentation to increase the variability of the available datasets, and we introduce a novel data augmentation method for re-identification based on changing the image background. We show that use of data augmentation can improve the cross-dataset generalisation of convolutional network based re-identification systems, and that changing the image background yields further improvements.
Original language | English |
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Title of host publication | Proceedings of 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 6 |
ISBN (Print) | 9781467376327 |
DOIs | |
Publication status | Published - Aug 2015 |
Event | 3rd AMMDS Workshop - AVSS 2015: Activity Monitoring by Multiple Distributed Sensing - Karlsruhe, Germany Duration: 25 Aug 2015 → … |
Workshop
Workshop | 3rd AMMDS Workshop - AVSS 2015: Activity Monitoring by Multiple Distributed Sensing |
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Country/Territory | Germany |
City | Karlsruhe |
Period | 25/08/2015 → … |