The full text of this article
A multi-camera video dataset for research on high-definition surveillance
by Athira Nambiar; Matteo Taiana; Dario Figueira; Jacinto C. Nascimento; Alexandre Bernardino
International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP), Vol. 1, No. 3, 2014
Abstract: We present a fully labelled image sequence dataset for benchmarking video surveillance algorithms. The dataset was acquired from 13 indoor cameras distributed over three floors of one building, recording simultaneously for 30 minutes. The dataset was specially designed and labelled to tackle the person detection and re-identification problems. Around 80 persons participated in the data collection, most of them appearing in more than one camera. The dataset is heterogeneous: there are three distinct types of cameras (standard, high and very high resolution), different view types (corridors, doors, open spaces) and different frame rates. This diversity is essential for a proper assessment of the robustness of video analytics algorithms in different imaging conditions. We illustrate the application of pedestrian detection and re-identification algorithms to the given dataset, pointing out important criteria for benchmarking and the impact of high-resolution imagery on the performance of the algorithms.
Online publication date: Fri, 19-Dec-2014
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Machine Intelligence and Sensory Signal Processing (IJMISSP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org