Publication Details
Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection
Mlích Jozef, Ing. (FIT)
Pešek Martin, Ing.
Volf Tomáš, Ing. (DIFS)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS)
In the paper, we describe our experiments in the interactive surveillance event
detection pilot (SED) of the 2009 TRECVid evaluation. Our approach inherits
functionality of the Surveillance Network Augmented by Retrieval (SUNAR) system,
which is an information retrieval based wide area (video) surveillance system
being developed at Faculty of IT, Brno University of Technology. It contains both
standard and experimental techniques evaluated at the AVSS 2009/10 Multi-Camera
Tracking Challenge. We have deployed active learning functionality (Bayesian, SVM
and HMM) based on moving objects' trajectory statistics and shape classification
using Video Terror Application Programming Interface (VTApi), which was created
to unify and accelerate the intelligent vision applications development.
@inproceedings{BUT192931,
author="Petr {Chmelař} and Jozef {Mlích} and Martin {Pešek} and Tomáš {Volf} and Pavel {Zemčík} and Jaroslav {Zendulka}",
title="Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection",
booktitle="2013 TREC Video Retrieval Evaluation Notebook Papers and Slides",
year="2013",
pages="1--9",
address="Gaithersburg",
url="https://www.fit.vut.cz/research/publication/10485/"
}