文献类型： 会议论文

第一作者： Mouna Selmi

作者： Mouna Selmi ¹ ; Mounim A. El-Yacoubi ² ;

作者机构： 1.UR: SAGE - Systemes Avances en Genie Electrique, Universite de Sousse

2.SAMOVAR, Telecom SudParis, CNRS, University Paris Saclay

关键词： Ambient assisted living system;Activities of daily living;Multimodal representation;Interest points;SVM-HCRF

会议名称： International Conference on Computers Helping People with Special Needs

主办单位：

页码： 541-548

摘要： Video-based recognition of activities of daily living (ADLs) is being used in ambient assisted living systems in order to support independent living of old people. In this work, we propose a new multimodal ADL recognition method by modeling the correlation between motion and object information. We encode motion using dense interest point trajectories which are robust to occlusion and speed variability. We formulate the learning problem using a two-layer SVM hidden conditional random field (HCRF) recognition model that is particularly relevant for multimodal sequence recognition. This hierarchical classifier optimally combines the discriminative power of SVM and the long-range feature dependencies modeling by the HCRF.

分类号： TP39-53