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Progress Report Meng-Ting Zhong 2015/5/6
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NTU Marathon
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NTU Dataset
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Deep Filter Pairing Neural Network for Person Re-Identification
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Experiments
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Evaluations
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Directions of Improvement
Time information Consistency Height of persons Multi-shot re-ID Detection and tracking of groups Bib number recognition
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Tracking Across Non-overlapping Cameras on Camera Link Models
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Consistent Re-identification in a Camera Network
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Bib number recognition
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VIPeR Dataset Viewpoint Invariant Pedestrian Recognition 2007
632 pedestrian image pairs Size: 128x48 Each pair contains two images of the same individual
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i-LIDS Dataset Imagery Library for Intelligent Detection Systems 2008
Size: 704x576 The multiple camera tracking scenario datasets each contain approximately 50 hours of real world footage £[ 204 ] per dataset
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PRID Dataset Person Re-ID 2011 Size: unknown
Videos with restricted access
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3DPeS 3D People Surveillance Dataset 2011 Size: 704x576
NOT synchronized and there is no time travel data
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RAiD Dataset Re-Identification Across Indoor-Outdoor Dataset 2014
MAT file Size: 128x64 43 people walked in these camera views resulting in 6920 images
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CUHK03 Dataset 2014 Size: 3??x1?? MAT file "cuhk-03.mat“
1467 identities are collected from 5 different pairs of camera views
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CamNeT Dataset Camera Network Tracking Dataset 2015 Size: 640*480
Composed of five to eight cameras covering both indoor and outdoor scenes at University of California, Riverside. Time stamp included
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Reference W. Li, R. Zhao, T. Xiao and X. Wang, "DeepReid: Deep Filter Pairing Neural Network for Person Re-Identification" in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) 2014.
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