Faycel Elayeb - Academia.edu (original) (raw)
Related Authors
Uploads
Papers by Faycel Elayeb
SAE Technical Paper Series, 2000
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific r... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Coupled Hidden Markov Model for video fall detection
2015 11th International Conference on Natural Computation (ICNC), 2015
Falls are a most common problem for old people. They can result in dangerous consequences even de... more Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, we propose a coupled Hidden Markov Model (CHMM) for human fall detection from video streams. We use CHMM to model the motion and static spatial characteristic of human silhouette.
A new framework for elderly fall detection using coupled hidden markov models
Int. Arab J. Inf. Technol., 2019
Falls are a most common problem for old people. They can result in dangerous consequences even de... more Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, human fall detection from video streams based on a Coupled Hidden Markov Model (CHMM) has been proposed. The CHMM was used to model the motion and static spatial characteristic of human silhouette. The validity of current proposed method was demonstrated with experiments on Le2i database, Weizman database and video from Youtube simulating falls and normal activities. Experimental results showed the superiority of the CHMM for video fall detection.
SAE Technical Paper Series, 2000
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific r... more HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Coupled Hidden Markov Model for video fall detection
2015 11th International Conference on Natural Computation (ICNC), 2015
Falls are a most common problem for old people. They can result in dangerous consequences even de... more Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, we propose a coupled Hidden Markov Model (CHMM) for human fall detection from video streams. We use CHMM to model the motion and static spatial characteristic of human silhouette.
A new framework for elderly fall detection using coupled hidden markov models
Int. Arab J. Inf. Technol., 2019
Falls are a most common problem for old people. They can result in dangerous consequences even de... more Falls are a most common problem for old people. They can result in dangerous consequences even death. Many recent works have presented different approaches to detect fall and prevent dangerous outcomes. In this paper, human fall detection from video streams based on a Coupled Hidden Markov Model (CHMM) has been proposed. The CHMM was used to model the motion and static spatial characteristic of human silhouette. The validity of current proposed method was demonstrated with experiments on Le2i database, Weizman database and video from Youtube simulating falls and normal activities. Experimental results showed the superiority of the CHMM for video fall detection.