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Alzheimer's disease and other related disorders (ADRD) represent a major challenge for health care systems within the aging population. It is therefore important to develop better instruments to assess the disease severity and progression, as well as to improve its treatment, stimulation, and rehabilitation. This is the underlying idea for the development(More)
  • Nadia Zouba, Msc François, Bremond Phd, Monique Thonnat, Alain Anfosso, Msc Éric +12 others
  • 2010
Determining the individual transition from the 3 rd to the 4 th or frailty phase of life is important for both the safety of the older person and to support the care provider. We developed an automatic monitoring system consisting of cameras and different sensors that analyze human behaviors and looks for changes in activities by detecting the presence of(More)
The CARETAKER 1 project, which is a 30-month project that has just kicked off, aims at studying, developing and assessing multimedia knowledge-based content analysis, knowledge extraction components, and metadata management subsystems in the context of automated situation awareness, diagnosis and decision support. More precisely, CARETAKER will focus on the(More)
Extracting the hidden and useful knowledge embedded within video sequences and thereby discovering relations between the various elements to help an efficient decision-making process is a challenging task. The task of knowledge discovery and information analysis is possible because of recent advancements in object detection and tracking. The authors present(More)
We propose in this paper an approach for recognising either isolated individual, group of people or crowd behaviours in the context of visual surveillance of metro scenes using multiple cameras. In this context, a behaviour recognition module relies on a vision module composed of three tasks: (a) motion detection and frame to frame tracking, (b) multiple(More)
This paper presents a new approach to recognize human postures in video sequences comparing two methods. We first describe these two methods based on 2D appearances. The first one uses projections of moving pixels on the reference axis. The second method decomposes the human silhouette into blocks and learns 2D posture appearances through PCA. Then we use(More)
UNLABELLED In order to fully capture the complexity of the behavioural, functioning and cognitive disturbances in Alzheimer Disease (AD) and related disorders information and communication techniques (ICT), could be of interest. This article presents using 3 clinical cases the feasibility results of an automatic video monitoring system aiming to assess(More)
We present a new evaluation methodology to better evaluate video processing performance. Recent evaluation methods [10], [9], [11] depend heavily on the benchmark dataset. The result may be different if we change the testing video sequences. The difference is mainly due to the video sequence content which usually includes many video processing problems(More)
This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 2D approach consists in projections of moving pixels on the reference axis. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. We are interested in(More)