Person detection, tracking and masking for automated annotation of large CCTV datasets

Egileak: Marcos Nieto, Peter Leskovsky, Juan Diego Ortega

Data: 02.12.2014


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Abstract

In this paper we describe a real-time approach for person detection in video footage, joint with a privacy masking tool, in the framework of forensic applications in CCTV systems. Particularly, this paper summarizes our results in these domains within the European FP7 SAVASA and P-REACT projects. Our main contributions have been focused on real-time performance of detection algorithms using a novel perspective-based approach, and the creation of a methodology for privacy masking content such as the faces of the persons in the images.

BIB_text

@Article {
author = {Marcos Nieto, Peter Leskovsky, Juan Diego Ortega},
title = {Person detection, tracking and masking for automated annotation of large CCTV datasets},
pages = {519-522},
volume = {8867},
keywds = {

computer vision, real-time, detection and tracking, privacy masking


}
abstract = {

In this paper we describe a real-time approach for person detection in video footage, joint with a privacy masking tool, in the framework of forensic applications in CCTV systems. Particularly, this paper summarizes our results in these domains within the European FP7 SAVASA and P-REACT projects. Our main contributions have been focused on real-time performance of detection algorithms using a novel perspective-based approach, and the creation of a methodology for privacy masking content such as the faces of the persons in the images.


}
isbn = {978-3-319-13101-6},
date = {2014-12-02},
year = {2014},
}
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