Progress Report Meng-Ting Zhong 2015/5/6.

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Presentation transcript:

Progress Report Meng-Ting Zhong 2015/5/6

NTU Marathon

NTU Dataset

Deep Filter Pairing Neural Network for Person Re-Identification

Experiments

Evaluations

Directions of Improvement Time information Consistency Height of persons Multi-shot re-ID Detection and tracking of groups Bib number recognition

Tracking Across Non-overlapping Cameras on Camera Link Models

Consistent Re-identification in a Camera Network

Bib number recognition

VIPeR Dataset Viewpoint Invariant Pedestrian Recognition 2007 632 pedestrian image pairs Size: 128x48 Each pair contains two images of the same individual

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

PRID Dataset Person Re-ID 2011 Size: unknown Videos with restricted access

3DPeS 3D People Surveillance Dataset 2011 Size: 704x576 NOT synchronized and there is no time travel data

RAiD Dataset Re-Identification Across Indoor-Outdoor Dataset 2014 MAT file Size: 128x64 43 people walked in these camera views resulting in 6920 images

CUHK03 Dataset 2014 Size: 3??x1?? MAT file "cuhk-03.mat“ 1467 identities are collected from 5 different pairs of camera views

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

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.

Thank you for listening!!!