Tracking-by-detection is a widely used paradigm for multi-person tracking but is affected by variations in crowd density, obstacles in the scene, varying illumination, human pose variation, scale changes, etc. We propose an improved tracking-by-detection framework for multi-person tracking where the appearance model is formulated as a template ensemble updated online given detections provided by a pedestrian detector. We employ a hierarchy of trackers to select the most effective tracking strategy and an algorithm to adapt the conditions for trackers’ initialization and termination. Our formulation is online and does not require calibration information. In experiments with four pedestrian tracking benchmark datasets, our formulation attains accuracy that is comparable to, or better than, the state-of-the-art pedestrian trackers that must exploit calibration information and operate offline.

Zhang, J., Lo Presti, L., Sclaroff, S. (2012). Online Multi-Person Tracking by Tracker Hierarchy. In IEEE Proceedings of the Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2012) (pp.379-385) [DOI 10.1109/AVSS.2012.51].

Online Multi-Person Tracking by Tracker Hierarchy

LO PRESTI, Liliana;
2012-01-01

Abstract

Tracking-by-detection is a widely used paradigm for multi-person tracking but is affected by variations in crowd density, obstacles in the scene, varying illumination, human pose variation, scale changes, etc. We propose an improved tracking-by-detection framework for multi-person tracking where the appearance model is formulated as a template ensemble updated online given detections provided by a pedestrian detector. We employ a hierarchy of trackers to select the most effective tracking strategy and an algorithm to adapt the conditions for trackers’ initialization and termination. Our formulation is online and does not require calibration information. In experiments with four pedestrian tracking benchmark datasets, our formulation attains accuracy that is comparable to, or better than, the state-of-the-art pedestrian trackers that must exploit calibration information and operate offline.
set-2012
IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
Beijing, China
18-21 Settembre 2012
2012
7
Zhang, J., Lo Presti, L., Sclaroff, S. (2012). Online Multi-Person Tracking by Tracker Hierarchy. In IEEE Proceedings of the Ninth International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2012) (pp.379-385) [DOI 10.1109/AVSS.2012.51].
Proceedings (atti dei congressi)
Zhang, J.; Lo Presti, L.; Sclaroff, S.
File in questo prodotto:
File Dimensione Formato  
AVSS.pdf

accesso aperto

Descrizione: Articolo
Dimensione 1.17 MB
Formato Adobe PDF
1.17 MB Adobe PDF Visualizza/Apri
indice.pdf

Solo gestori archvio

Descrizione: Table of Contents - Proceedings
Dimensione 149.92 kB
Formato Adobe PDF
149.92 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
copertina.pdf

Solo gestori archvio

Descrizione: Proceedings Cover
Dimensione 36.51 kB
Formato Adobe PDF
36.51 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/97699
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 62
  • ???jsp.display-item.citation.isi??? 38
social impact