Semantic interpretation model in intelligent video surveillance
Sen Guo · Journal of Shenzhen Institute of Information Technology · 2009
Action analysis and semantic interpretation in surveillance video have recently attracted increasing attention in the computer vision community.In this paper,a semantic interpretation model is proposed for practical applications in visual surveillance.Conceptual space is defined to bridge the gap between low-level syntax which is quantitative and high-level semantic where information is handled by qualitative means.Based on the conceptual space,conceptual relating model is proposed to simulate and recognize the targets' behaviors in the scene. Experimental results demonstrate the performance of the proposed semantic interpretation model.