High Level Event Detection based on Spatial Occupancy and Interpersonal Relationships

  • John Soldera Federal University of Rio Grande do Sul
  • José Bins Universidade Federal do Pampa
  • Marcelo Cohen Pontif´ıcia Universidade Cat´olica do Rio Grande do Sul - PUCRS
  • Julio Cesar Silveira Jacques Jr Pontifıcia Universidade Catolica do Rio Grande do Sul - PUCRS
  • Soraia Raupp Musse Pontifıcia Universidade Catolica do Rio Grande do Sul - PUCRS
  • Claudio Rosito Jung Federal University of Rio Grande do Sul

Abstract

This paper describes a new approach for eventdetection in video sequences. A tracking algorithm for obliquecamera setups is initially used to extract trajectories in a trainingperiod, and a map of spatial occupancy of the scene is built. In thetest stage, Voronoi Diagrams are used to obtain some informationregarding interpersonal relationships, such as distances fromneighbors, formation and classification of groups. A variety ofcomplex events can be detected through a query formulated bythe user, that may combine concurrent or sequential occurrencesof simpler events based on either spatial occupancy or interpersonalrelationships (e.g. group formation in a region with smallspatial occupancy). These queries can be used to detect eventson-the-fly as the video is processed, or applied to stored videodatabases.

Author Biography

Claudio Rosito Jung, Federal University of Rio Grande do Sul
Federal University of Rio Grande do Sul
Published
21-10-2015
How to Cite
Soldera, J., Bins, J., Cohen, M., Jacques Jr, J., Musse, S., & Jung, C. (2015). High Level Event Detection based on Spatial Occupancy and Interpersonal Relationships. Journal of Communication and Information Systems, 30(1). https://doi.org/10.14209/jcis.2015.8
Section
Regular Papers