Re-identification of pedestrians in crowds using dynamic time warping

Authors:
Damien Simonnet;Michal Lewandowski;Sergio A. Velastin;James Orwell;Esin Turkbeyler
Affiliations:
Digital Imaging Research Centre, Kingston University, Kingston-upon-Thames, UK;Digital Imaging Research Centre, Kingston University, Kingston-upon-Thames, UK;Digital Imaging Research Centre, Kingston University, Kingston-upon-Thames, UK;Digital Imaging Research Centre, Kingston University, Kingston-upon-Thames, UK;Roke Manor Research, Romsey, Hampshire, UK
Venue:
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Year:
2012

Citing 11
Cited 1

Fundamentals of speech recognition

Fundamentals of speech recognition
Histograms of Oriented Gradients for Human Detection

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors

International Journal of Computer Vision
Viewpoint Invariant Pedestrian Recognition with an Ensemble of Localized Features

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Floor Fields for Tracking in High Density Crowd Scenes

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Object Detection with Discriminatively Trained Part-Based Models

IEEE Transactions on Pattern Analysis and Machine Intelligence
A structural filter approach to human detection

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Pedestrian recognition with a learned metric

ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
How does person identity recognition help multi-person tracking?

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Stable multi-target tracking in real-time surveillance video

CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Random ensemble metrics for object recognition

ICCV '11 Proceedings of the 2011 International Conference on Computer Vision

Editor's Choice Article: A survey of approaches and trends in person re-identification

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new tracking algorithm to solve on-line the 'Tag and Track' problem in a crowded scene with a network of CCTV Pan, Tilt and Zoom (PTZ) cameras. The dataset is very challenging as the non-overlapping cameras exhibit pan tilt and zoom motions, both smoothly and abruptly. Therefore a tracking-by-detection approach is combined with a re-identification method based on appearance features to solve the re-acquisition problem between non overlapping camera views and crowds occlusions. However, conventional re-identification techniques of multi target trackers, which consist of learning an online appearance model to differentiate the target of interest from other people in the scene, are not suitable for this scenario because the tagged pedestrian moves in an environment where pedestrians walking with them are constantly changing. Therefore, a novel multiple shots re-identification technique is proposed which combines a standard single shot re-identification, based on offline training to recognize humans from different views, with a Dynamic Time Warping (DTW) distance.