Title :
Video sequence interpretation for visual surveillance
Author :
Rota, Nathanael ; Thonnat, Monique
Author_Institution :
INRIA, Sophia Antipolis, France
Abstract :
This paper presents the work done on video sequence interpretation. We propose a framework based on two kinds of a priori knowledge: predefined scenarios and contextual information. This approach has been applied on video sequences of the AVS-PV visual surveillance European project
Keywords :
image sequences; research initiatives; surveillance; video cameras; video signal processing; AVS-PV visual surveillance European project; camera; contextual information; high-level video understanding; predefined scenarios; video sequence interpretation; visual surveillance; Automata; Cameras; Humans; Image processing; Layout; Object detection; Surveillance; Vehicle dynamics; Vehicles; Video sequences;
Conference_Titel :
Visual Surveillance, 2000. Proceedings. Third IEEE International Workshop on
Conference_Location :
Dublin
Print_ISBN :
0-7695-0698-4
DOI :
10.1109/VS.2000.856858
