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Understanding dynamic scenes based on human sequence evaluation

AuthorsGonzàlez, Jordi; Rowe, Daniel; Varona, Javier; Roca, F. Xavier
KeywordsImage sequence evaluation
High-level procesing of monitored scenes
Segmentation and tracking in complex scenes
Event recognition in dynamic scenes
Human motion understanding
Issue Date2009
CitationImage and Vision Computing 27(10): 1433-1444 (2009)
AbstractIn this paper, a Cognitive Vision System (CVS) is presented, which explains the human behaviour of monitored scenes using natural-language texts. This cognitive analysis of human movements recorded in image sequences is here referred to as Human Sequence Evaluation (HSE) which defines a set of transformation modules involved in the automatic generation of semantic descriptions from pixel values. In essence, the trajectories of human agents are obtained to generate textual interpretations of their motion, and also to infer the conceptual relationships of each agent w.r.t. its environment. For this purpose, a human behaviour model based on Situation Graph Trees (SGTs) is considered, which permits both bottom-up (hypothesis generation) and top-down (hypothesis refinement) analysis of dynamic scenes. The resulting system prototype interprets different kinds of behaviour and reports textual descriptions in multiple languages.
Publisher version (URL)http://dx.doi.org/10.1016/j.imavis.2008.02.004
Appears in Collections:(IRII) Artículos
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