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Ray-Tracing-Based Event Detection and 3D Visualization for Automated Video Surveillance System

Przybyło J., Jabłoński M.

Image Processing & Communications

2015

Vol. 20, no. 2

29--39

Automated and intelligent video surveillance systems play important role in current home care and facilities security applications. Among many research problems is graphical visualization of semantic messages to the human operator that he can percept information in more natural way. The other essential research question is how to recognize 3D objects and their state on the monitored scene only from their views (2D images from the camera). In this paper we continue our previous work on data fusion in visualization of 3D scene semantic model and propose to recognize events and states of scene objects under surveillance in an automatic way using feedback provided by the renderer. We developed ray-tracing based visualization for surveillance system, that is capable of recognizing object’s state and at the same time present relevant information to the human operator.

Principal components analysis for PIV applications

Cenedese A., Pocecco A., Querzoli G.

Machine Graphics and Vision

1999

Vol. 8, No. 4

545-552

An application of the PIV technique based on cross-correlation mrthod is described. In order to obtain single-exposed images from a double-exposed colour image, the separation in RGB components is performed and the effects on the PIV analysis are evaluated. A method to obtain uncorrelated colour bands, based on Principal Components Analysis, is proposed for PIV applications which utilises colour codes information.