Video Understanding Framework For Automatic Behavior Recognition - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Behavior Research Methods Year : 2006

Video Understanding Framework For Automatic Behavior Recognition


We propose an activity monitoring framework based on a platform called VSIP, enabling behavior recognition in different environments. To allow end-users to actively participate in the development of a new application, VSIP separates algorithms from a priori knowledge. For describing how VSIP works, we present a full description of a system developed with this platform for recognizing behaviors, involving either isolated individual, group of people or crowds, in the context of visual monitoring of metro scenes using multiple cameras. In this work, we also illustrate the capability of the framework to easily combine and tune various recognition methods dedicated to the visual analysis of specific situations (e.g. mono/multi actors activities, numerical/symbolic actions or temporal scenarios). We also present other applications using this framework, in the context of behavior recognition. VSIP has shown a good performance on human behavior recognition for different problems and configurations, being suitable to fulfill a large variety of requirements.
Fichier principal
Vignette du fichier
BRM2006.pdf (1.08 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inria-00276938 , version 1 (02-05-2008)


  • HAL Id : inria-00276938 , version 1


François Bremond, Monique Thonnat, Marcos Zuniga. Video Understanding Framework For Automatic Behavior Recognition. Behavior Research Methods, 2006, 3 (38), pp.416-426. ⟨inria-00276938⟩


136 View
335 Download


Gmail Facebook X LinkedIn More