A Video System for Urban Surveillance: Function Integration and Evaluation
Ricardo Jacó de Oliveira, Pedro Canotilho Ribeiro, Jorge Salvador Marques, Joao Miranda Lemos · 2003
This paper is concerned with video sequence analysis for urban area surveillance applications. The aim is to detect, track and classify targets entering a urban scene under varying illumination conditions and distracters. The paper contributions consist in the integration of algorithms for performing the various tasks and in their statistical evaluation. Results are presented on the basis of a benchmark video sequence.