Publication Details
Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot
Mlích Jozef, Ing. (DCGM FIT BUT)
Pešek Martin, Ing. (DIFS FIT BUT)
Volf Tomáš, Ing. (DIFS FIT BUT)
Zemčík Pavel, prof. Dr. Ing. (DCGM FIT BUT)
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT)
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{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"
}