Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/2117/6501

Understanding dynamic scenes based on human sequence evaluation
González Sabaté, Jordi; Rowe, Daniel; Varona, Javier; Roca, Francesc Xavier
Universitat Politècnica de Catalunya. Institut de Robòtica i Informàtica Industrial
In this paper, a Cognitive Vision System (CVS) is presented, which explains the human behaviour of monitored scenes using naturallanguage 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.
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Robòtica
Cognitive technologies
Artificial vision
Visió artificial (Robòtica)
Cognició -- Investigació
info:eu-repo/semantics/submittedVersion
Artículo
         

Mostrar el registro completo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Varona, Javier; González Sabaté, Jordi; Rius, Ignasi; Villanueva Pipaón, Juan José
Varona, Javier; Jaume Capo, Antoni; González Sabaté, Jordi; Perales Lorente, José Francisco
Rius, Ignasi; González Sabaté, Jordi; Mozerov, Mikhail; Roca, Francesc Xavier
Rowe, Daniel; Huerta Casado, Iván; Perdersoli, Marco; Guinea, Soledad; Gonzàlez, Jordi; Villanueva, Juan J.
Huerta Casado, Iván; Rowe, Daniel; Viñas, Miguel; Mozerov, Mikhail; Gonzàlez, Jordi