Search Results - "THONNAT, Monique"
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Unsupervised discovery of human activities from long‐time videos
Published in IET computer vision (01-08-2015)“…In this study, the authors propose a complete framework based on a hierarchical activity model to understand and recognise activities of daily living in…”
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Video understanding for complex activity recognition
Published in Machine vision and applications (01-08-2007)“…This paper presents a real-time video understanding system which automatically recognises activities occurring in environments observed through video…”
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Person Re-identification Using Spatial Covariance Regions of Human Body Parts
Published in 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (01-08-2010)“…In many surveillance systems there is a requirement to determine whether a given person of interest has already been observed over a network of cameras. This…”
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Person Re-identification Using Haar-based and DCD-based Signature
Published in 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance (01-08-2010)“…In many surveillance systems there is a requirement to determine whether a given person of interest has already been observed over a network of cameras. This…”
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Conference Proceeding -
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COLOUR IMAGE IN 2D AND 3D MICROSCOPY FOR THE AUTOMATION OF POLLEN RATE MEASUREMENT
Published in Image analysis & stereology (03-05-2011)“…Pollen monitoring is of great importance for the prevention of allergy. As this activity is still largely carried out by humans, there is an increasing…”
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Automated video analysis of emotion and dystonia in epileptic seizures
Published in Epilepsy research (01-08-2022)“…OBJECTIVETo investigate the accuracy of deep learning methods applied to seizure video data, in discriminating individual semiologic features of dystonia and…”
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Design and Assessment of an Intelligent Activity Monitoring Platform
Published in EURASIP journal on advances in signal processing (2005)“…: We are interested in designing a reusable and robust activity monitoring platform. We propose three good properties that an activity monitoring platform…”
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Special issue on intelligent vision systems
Published in Computer vision and image understanding (01-05-2010)“…The explosive growth in the number of video cameras and the increasing computing power of computers extend the potential number of applications of vision…”
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Boosted human re-identification using Riemannian manifolds
Published in Image and vision computing (01-06-2012)“…This paper presents an appearance-based model to address the human re-identification problem. Human re-identification is an important and still unsolved task…”
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10
Neural correlates of rhythmic rocking in prefrontal seizures
Published in Neurophysiologie clinique (01-10-2020)“…Rhythmic body rocking movements may occur in prefrontal epileptic seizures. Here, we compare quantified time-evolving frequency of stereotyped rocking with…”
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Looking deeper into Time for Activities of Daily Living Recognition
Published in 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (01-03-2020)“…In this paper, we introduce a new approach for Activities of Daily Living (ADL) recognition. In order to discriminate between activities with similar…”
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Conference Proceeding -
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Rhythmic rocking stereotypies in frontal lobe seizures: A quantified video study
Published in Neurophysiologie clinique (01-04-2020)“…Rhythmic, stereotyped movements occur in some epileptic seizures. We aimed to document time-evolving frequencies of antero-posterior rocking occurring during…”
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Ontology based complex object recognition
Published in Image and vision computing (2008)“…This paper presents a new approach for object categorization involving the following aspects of cognitive vision: learning, recognition and knowledge…”
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14
A Self-Supervised Pre-Training Framework for Vision-Based Seizure Classification
Published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (23-05-2022)“…Seizure events feature temporary abnormalities in muscle control or movements. They are usually caused by excessive neuronal activities in the brain, and are…”
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Hierarchical and incremental event learning approach based on concept formation models: Behaviours in video
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Online parameter tuning for object tracking algorithms super()
Published in Image and vision computing (01-04-2014)“…Object tracking quality usually depends on video scene conditions (e.g. illumination, density of objects, object occlusion level). In order to overcome this…”
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Online parameter tuning for object tracking algorithms
Published in Image and vision computing (01-04-2014)“…Object tracking quality usually depends on video scene conditions (e.g. illumination, density of objects, object occlusion level). In order to overcome this…”
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Applying 3D human model in a posture recognition system
Published in Pattern recognition letters (01-11-2006)“…This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 3D model is a realistic…”
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Video-understanding framework for automatic behavior recognition
Published in Behavior research methods (01-08-2006)“…We propose an activity-monitoring framework based on a platform called VSIP, enabling behavior recognition in different environments. To allow end-users to…”
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Real-time reliability measure-driven multihypothesis tracking using 2D and 3D features
Published in EURASIP journal on advances in signal processing (30-12-2011)“…We propose a new multi-target tracking approach, which is able to reliably track multiple objects even with poor segmentation results due to noisy…”
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