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.
Highlights
W ITH the decrease in price and increase in quality of video acquisition systems, the analysis of human motion from video sequences has become an important topic of research in the computer vision and pattern recognition communities, with several applications [1]–[3]
We explore the temporal evolution of Voronoi Diagrams (VDs) to extract aspects related to interpersonal relationships, such as distance from neighbors across time, group formation and classification [5]
This paper proposes a new method that explores Spatial Occupancy Maps (SpOMs) and interpersonal relationships to detect a broad variety of events, that can be formulated through queries using a grammar that contains simpler individual events
Summary
W ITH the decrease in price and increase in quality of video acquisition systems, the analysis of human motion from video sequences has become an important topic of research in the computer vision and pattern recognition communities, with several applications [1]–[3]. This paper focuses on event detection based on two main aspects: spatial occupancy and interpersonal relationships. Simple events regarding either the spatial occupancy or interpersonal relationships can be detected, such as the detection of people walking on an unoccupied portion of space, or the formation of a voluntary group.
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