Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection

Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection

Paper in proceedings outside WoS and Scopus

In the paper, we describe ourexperiments in the interactive surveillance event detection pilot(SED) of the 2009 TRECVid evaluation. Our approach inheritsfunctionality 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, BrnoUniversity of Technology. It contains both standard and experimentaltechniques evaluated at the AVSS 2009/10 Multi-Camera TrackingChallenge. We have deployed active learning functionality (Bayesian,SVM and HMM) based on moving objects' trajectory statistics and shapeclassification using Video Terror Application Programming Interface(VTApi), which was created to unify and accelerate the intelligentvision applications development.

In the paper, we describe ourexperiments in the interactive surveillance event detection pilot(SED) of the 2009 TRECVid evaluation. Our approach inheritsfunctionality 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, BrnoUniversity of Technology. It contains both standard and experimentaltechniques evaluated at the AVSS 2009/10 Multi-Camera TrackingChallenge. We have deployed active learning functionality (Bayesian,SVM and HMM) based on moving objects' trajectory statistics and shapeclassification using Video Terror Application Programming Interface(VTApi), which was created to unify and accelerate the intelligentvision applications development.

CHMELAŘ, P.; MLÍCH, J.; PEŠEK, M.; VOLF, T.; ZEMČÍK, P.; ZENDULKA, J.

20.11.2013

Gaithersburg

2013 TREC Video Retrieval Evaluation Notebook Papers and Slides

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https://www.fit.vut.cz/research/publication/10485/

Brno_paper