Human expert modelling using semantics-oriented video retrieval for surveillance in hard industry
Pavel Praks, Jindřich Černohorský, Vojtěch Svátek · 2006
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.