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2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS 2013) (2013)
Clearwater, FL
Jan. 15, 2013 to Jan. 17, 2013
ISSN: 2157-491X
ISBN: 978-1-4673-5649-7
TABLE OF CONTENTS

A motion-enhanced hybrid Probability Hypothesis Density filter for real-time multi-human tracking in video surveillance scenarios (Abstract)

V. Eiselein , Commun. Syst. Group, Tech. Univ. Berlin, Berlin, Germany
T. Senst , Commun. Syst. Group, Tech. Univ. Berlin, Berlin, Germany
I. Keller , Commun. Syst. Group, Tech. Univ. Berlin, Berlin, Germany
T. Sikora , Commun. Syst. Group, Tech. Univ. Berlin, Berlin, Germany
pp. 6-13

Parameter estimation and contextual adaptation for a multi-object tracking CRF model (Abstract)

A. Heili , Idiap Res. Inst., Martigny, Switzerland
Jean-Marc Odobez , Idiap Res. Inst., Martigny, Switzerland
pp. 14-21

Unified hierarchical multi-object tracking using global data association (Abstract)

M. Hofmann , Inst. for Human-Machine Commun., Tech. Univ. Munchen, Munich, Germany
M. Haag , Inst. for Human-Machine Commun., Tech. Univ. Munchen, Munich, Germany
G. Rigoll , Inst. for Human-Machine Commun., Tech. Univ. Munchen, Munich, Germany
pp. 22-28

Real-time tracking of single people and groups simultaneously by contextual graph-based reasoning dealing complex occlusions (Abstract)

P. Foggia , Dept. of Electron. & Inf. Eng. (DIEII), Univ. of Salerno, Salerno, Italy
G. Percannella , Dept. of Electron. & Inf. Eng. (DIEII), Univ. of Salerno, Salerno, Italy
A. Saggese , Dept. of Electron. & Inf. Eng. (DIEII), Univ. of Salerno, Salerno, Italy
M. Vento , Dept. of Electron. & Inf. Eng. (DIEII), Univ. of Salerno, Salerno, Italy
pp. 29-36

Improved mean shift for multi-target tracking (Abstract)

G. Phadke , Indian Inst. of Technol. Bombay, Mumbai, India
R. Velmurugan , Indian Inst. of Technol. Bombay, Mumbai, India
pp. 37-44

Histograms of optical flow orientation for abnormal events detection (Abstract)

Tian Wang , LM2S, Univ. de Technol. de Troyes, Troyes, France
H. Snoussi , LM2S, Univ. de Technol. de Troyes, Troyes, France
pp. 45-52

Performance evaluation of an improved relational feature model for pedestrian detection (Abstract)

A. Zweng , Comput. Vision Lab., Vienna Univ. of Technol., Vienna, Austria
M. Kampel , Cogvis GmbH, Vienna, Austria
pp. 53-60
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