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Performance evaluation of crowd image analysis using the PETS2009 dataset

Ferryman, J. and Ellis, A.-L. (2014) Performance evaluation of crowd image analysis using the PETS2009 dataset. Pattern Recognition Letters, 44. pp. 3-15. ISSN 0167-8655

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To link to this item DOI: 10.1016/j.patrec.2014.01.005

Abstract/Summary

This paper presents the PETS2009 outdoor crowd image analysis surveillance dataset and the performance evaluation of people counting, detection and tracking results using the dataset submitted to five IEEE Performance Evaluation of Tracking and Surveillance (PETS) workshops. The evaluation was carried out using well established metrics developed in the Video Analysis and Content Extraction (VACE) programme and the CLassification of Events, Activities, and Relationships (CLEAR) consortium. The comparative evaluation highlights the detection and tracking performance of the authors’ systems in areas such as precision, accuracy and robustness and provides a brief analysis of the metrics themselves to provide further insights into the performance of the authors’ systems.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:36589
Uncontrolled Keywords:Surveillance; Detection; Tracking; Performance evaluation; Dataset
Publisher:Elsevier

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