Research Article
Human expert modelling using semantics-oriented video retrieval for surveillance in hard industry
@INPROCEEDINGS{10.1145/1374296.1374322, author={Pavel Praks and Jindřich Černohorsk\"{y} and Vojtěch Sv\^{a}tek}, title={Human expert modelling using semantics-oriented video retrieval for surveillance in hard industry}, proceedings={2nd International ICST Conference on Mobile Multimedia Communications}, publisher={ACM}, proceedings_a={MOBIMEDIA}, year={2006}, month={9}, keywords={surveillance application industrial automation information retrieval multidimensional data dimension reduction numerical linear algebra Singular Value Decomposition (SVD) ∗ Also Dept. of Mathematics and Descriptive Geometry Dept. of Applied Mathematics Center of Quality and Reliability of Production VˇSB - Technical University of Ostrava 17. listopadu 15 708 33 Ostrava Czech Republic † Also Centre of Applied Cybernetics partial symmetric eigenproblem very large systems of linear equations iterative solvers}, doi={10.1145/1374296.1374322} }- Pavel Praks
Jindřich Černohorský
Vojtěch Svátek
Year: 2006
Human expert modelling using semantics-oriented video retrieval for surveillance in hard industry
MOBIMEDIA
ACM
DOI: 10.1145/1374296.1374322
Abstract
The surveillance application aims at improving the quality of technology via modelling human expert behaviour in the coking plant Mittal Steel Ostrava, the Czech Republic. Video data on several industrial processes are captured by means of a CCD camera and classified by using Latent Semantic Indexing (LSI) with the respect to etalons classified by an expert. We also investigate the possibility to combine LSI with color histogram analysis, using experience from our prior research on web image classification.
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