SAVASA Project@ TRECVID 2012: Interactive Surveillance Event Detection

Authors: Suzanne Little and Iveel Jargalsaikhan and Cem Direkoglu and Noel E. O’Connor and Alan F. Smeaton and Kathy Clawson and Hao Li and Marcos Nieto and Aitor Rodríguez and Pedro Sánchez and Karina Villarroel and Ana Martínez and Roberto Giménez and Raúl Santo

Date: 29.11.2012


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Abstract

In this paper we describe our participation in the interactive surveillance event detection task at TRECVid 2012. The system we developed was comprised of individual classifiers brought together behind a simple video search interface that enabled users to select relevant segments based on down sampled animated gifs. Two types of user – ‘experts’ and ‘end users‘ – performed the evaluations. Due to time constraints we focussed on three events – ObjectPut, PersonRuns and Pointing – and two of the five available cameras (1 and 3). Results from the interactive runs as well as discussion of the performance of the underlying retrospective classifiers are presented.

BIB_text

@Article {
author = {Suzanne Little and Iveel Jargalsaikhan and Cem Direkoglu and Noel E. O’Connor and Alan F. Smeaton and Kathy Clawson and Hao Li and Marcos Nieto and Aitor Rodríguez and Pedro Sánchez and Karina Villarroel and Ana Martínez and Roberto Giménez and Raúl Santo},
title = {SAVASA Project@ TRECVID 2012: Interactive Surveillance Event Detection},
abstract = {

In this paper we describe our participation in the interactive surveillance event detection task at TRECVid 2012. The system we developed was comprised of individual classifiers brought together behind a simple video search interface that enabled users to select relevant segments based on down sampled animated gifs. Two types of user – ‘experts’ and ‘end users‘ – performed the evaluations. Due to time constraints we focussed on three events – ObjectPut, PersonRuns and Pointing – and two of the five available cameras (1 and 3). Results from the interactive runs as well as discussion of the performance of the underlying retrospective classifiers are presented.


}
isi = {1},
date = {2012-11-29},
year = {2012},
}
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