Search Results - "Thonnat, M"

Online learning neural tracker by Suresh, S., Brémond, F., Thonnat, M., Kim, H.J.

“…Object tracking is a fundamental computer vision problem and is required for many high-level tasks such as activity recognition, behavior analysis and…”
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Automatic video monitoring system for assessment of Alzheimer’s Disease symptoms by Romdhane, R, Mulin, E, Derreumeaux, A, Zouba, N, Piano, J, Lee, L, Leroi, I, Mallea, P, David, R, Thonnat, M, Bremond, F, Robert, P. H

“…In order to fully capture the complexity of the behavioural, functioning and cognitive disturbances in Alzheimer Disease (AD) and related disorders information…”
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Tracking multiple nonrigid objects in video sequences by Bremond, F., Thonnat, M.

“…This paper presents a method to track multiple nonrigid objects in video sequences. First, we present related works on tracking methods. Second, we describe…”
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Real-time control of video surveillance systems with program supervision techniques by Georis, B., Brémond, F., Thonnat, M.

“…In this article, we describe a knowledge-based controlled platform using program supervision techniques. This platform eases the creation and the configuration…”
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Object recognition from 3D blurred images by Boucher, A., Thonnat, M.

“…This paper presents a novel approach for 3D object recognition and classification. The originality of this approach is the combination of statistical…”
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Video-understanding framework for automatic behavior recognition by Brémond, François, Thonnat, Monique, Zúñiga, Marcos

“…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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Video sequence interpretation for visual surveillance by Rota, N., Thonnat, M.

“…This paper presents the work done on video sequence interpretation. We propose a framework based on two kinds of a priori knowledge: predefined scenarios and…”
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Group behavior recognition with multiple cameras by Cupillard, F., Bremond, F., Thonnat, M.

“…We propose in this paper an approach for recognizing group of people behaviors using multiple cameras with overlapping FOVs (Field Of View). In this context,…”
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Controlling background subtraction algorithms for robust object detection by Nghiem, A.T, Bremond, F, Thonnat, M

“…This paper presents a controller for background subtraction algorithms to detect mobile objects in videos. The controller has two main tasks. The first task is…”
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Posture recognition with a 3D human model by Boulay, B, Bremond, F, Thonnat, M

“…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…”
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A cognitive vision platform for automatic recognition of natural complex objects by Hudelot, C., Thonnat, M.

“…This paper presents a generic cognitive vision platform for the automatic recognition of natural complex objects. The recognition consists of three steps :…”
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Towards ontology-based cognitive vision by Maillot, Nicolas, Thonnat, Monique, Boucher, Alain

“…This paper details a visual-concept-ontology-driven knowledge acquisition methodology. We propose to use a visual concept ontology to guide experts in the…”
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Ontology based object learning and recognition: application to image retrieval by Maillot, N., Thonnat, M., Hudelot, C.

“…This work presents a new object categorization method and shows how it can be used for image retrieval. Our approach involves machine learning and knowledge…”
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Video surveillance for aircraft activity monitoring by Borg, M., Thirde, D., Ferryman, J., Fusier, F., Valentin, V., Bremond, F., Thonnat, M.

“…This paper presents a complete visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules scene…”
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Realtime image sequence interpretation for video-surveillance applications by Chleq, N., Thonnat, M.

“…This paper describes a generic framework for the realtime interpretation of video-surveillance scenes. The tool we have built according to this framework…”
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Multi-target tracking by discriminative analysis on Riemannian manifold by Bak, S., Duc-Phu Chau, Badie, J., Corvee, E., Bremond, F., Thonnat, M.

“…This paper addresses the problem of multi-target tracking in crowded scenes from a single camera. We propose an algorithm for learning discriminative…”
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Tracking multiple individuals for video communication by Avanzi, A., Bremond, F., Thonnat, M.

“…We propose a new interpretation platform dedicated to video communication. Basically, a video communication system takes an image flow from a camera and…”
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Multiple-shot human re-identification by Mean Riemannian Covariance Grid by Bak, S., Corvee, E., Bremond, F., Thonnat, M.

“…Human re-identification is defined as a requirement to determine whether a given individual has already appeared over a network of cameras. This problem is…”
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Shape recognition based on a video and multi-sensor system by Ngoc, H.-B.B., Bremond, F., Thonnat, M., Faure, J.-C.

“…We present in this paper a real-time system for shape recognition. The proposed system is a video and multi-sensor platform that is able to classify the mobile…”
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Video event recognition for aircraft activity monitoring by Thirde, D., Borg, M., Ferryman, J., Fusier, F., Valentin, V., Bremond, F., Thonnat, M.

“…This paper presents the approach taken to, and the results obtained for automatic scene interpretation of airport aprons based on a multi-camera video…”
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