Publication Details
Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot
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)
TRECVid, SED, event detection
The experiments we describe here involve the interactive surveillance event
detection pilot (SED) of the 2012 TRECVid evaluation. Our approach is called
Surveillance Network Augmented by Retrieval Event Detection (SUNAR-ED), an open
source single-camera computer vision and information-retrieval based surveillance
event detection system, which is based on wide area (video) surveillance system
(SUNAR). It contains state of the art and experimental methods of object tracking
(OpenCV), feature extraction (MPEG-7), search (similarity, spatio-temporal) and
learning (Bayes, GMM, HMM, SVM).
We have deployed active learning functionality based on moving objects'
trajectory statistics and shape classification using VTApi (Video Terror
Application programming interface and methodology), a data base interface used
for processing and efficient management, indexing, retrieval and analysis of
image and video data and related metadata, which was created to unify and
accelerate the intelligent vision applications development.
@inproceedings{BUT97061,
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 2012: Interactive Surveillance Event Detection Pilot",
booktitle="2012 TREC Video Retrieval Evaluation Notebook Papers and Slides",
year="2012",
pages="1--9",
publisher="National Institute of Standards and Technology",
address="Gaithersburg",
url="https://www.fit.vut.cz/research/publication/10192/"
}