Detail publikace
Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot
CHMELAŘ Petr, MLÍCH Jozef, PEŠEK Martin, VOLF Tomáš, ZEMČÍK Pavel a ZENDULKA Jaroslav. Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot. In: 2012 TREC Video Retrieval Evaluation Notebook Papers and Slides. Gaithersburg: National Institute of Standards and Technology, 2012, s. 1-9.
Název česky
Vysoké učení technické v Brně na TRECVid 2012: Interaktivní detekce událostí dohledu
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Chmelař Petr, Ing. (UIFS FIT VUT)
Mlích Jozef, Ing. (UPGM FIT VUT)
Pešek Martin, Ing. (UIFS FIT VUT)
Volf Tomáš, Ing. (UIFS FIT VUT)
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS FIT VUT)
Mlích Jozef, Ing. (UPGM FIT VUT)
Pešek Martin, Ing. (UIFS FIT VUT)
Volf Tomáš, Ing. (UIFS FIT VUT)
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT)
Zendulka Jaroslav, doc. Ing., CSc. (UIFS FIT VUT)
Abstrakt
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.
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.
Rok
2012
Strany
1-9
Sborník
2012 TREC Video Retrieval Evaluation Notebook Papers and Slides
Konference
2012 TRECVID Workshop, Gaithersburg, MD, US
Vydavatel
National Institute of Standards and Technology
Místo
Gaithersburg, US
BibTeX
@INPROCEEDINGS{FITPUB10192, author = "Petr Chmela\v{r} and Jozef Ml\'{i}ch and Martin Pe\v{s}ek and Tom\'{a}\v{s} Volf and Pavel Zem\v{c}\'{i}k and Jaroslav Zendulka", title = "Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot", pages = "1--9", booktitle = "2012 TREC Video Retrieval Evaluation Notebook Papers and Slides", year = 2012, location = "Gaithersburg, US", publisher = "National Institute of Standards and Technology", language = "english", url = "https://www.fit.vut.cz/research/publication/10192" }
Soubory