Auswahl der wissenschaftlichen Literatur zum Thema „Algorithme de suivi d'objets“
Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an
Inhaltsverzeichnis
Machen Sie sich mit den Listen der aktuellen Artikel, Bücher, Dissertationen, Berichten und anderer wissenschaftlichen Quellen zum Thema "Algorithme de suivi d'objets" bekannt.
Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.
Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.
Zeitschriftenartikel zum Thema "Algorithme de suivi d'objets"
FUCHS, CATHERINE. „Le détachement d'objets indirects antéposés dans des énoncés à sujet inversé“. Journal of French Language Studies 23, Nr. 2 (05.04.2012): 179–92. http://dx.doi.org/10.1017/s095926951200004x.
Der volle Inhalt der QuelleSAIDI, IMEN, und NAHLA TOUATI. „APPRENTISSAGE DE COMMANDE POUR LE SUIVI DE TRAJECTOIRE D'UN PENDULE INVERSÉ À ROUE D'INERTIE NON LINÉAIRE“. REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 68, Nr. 4 (23.12.2023): 424–30. http://dx.doi.org/10.59277/rrst-ee.2023.4.17.
Der volle Inhalt der QuelleMeunier, A., und G. de Fooz. „Réalisation d’un algorithme décisionnel pour le suivi par télémonitoring des patients sous ventilation non invasive à domicile“. Revue des Maladies Respiratoires Actualités 16, Nr. 1 (Januar 2024): 77–78. http://dx.doi.org/10.1016/j.rmra.2023.11.127.
Der volle Inhalt der QuelleChokmani, Karem, Monique Bernier und Michel Slivitzky. „Suivi spatio-temporel du couvert nival du Québec à l’aide des données NOAA-AVHRR“. Revue des sciences de l'eau 19, Nr. 3 (13.09.2006): 163–79. http://dx.doi.org/10.7202/013536ar.
Der volle Inhalt der QuelleOh, Jiwon, Marie-Sarah Gagné-Brosseau, Melanie Guenette, Catherine Larochelle, François Lemieux, Suresh Menon, Sarah A. Morrow et al. „Toward a Shared-Care Model of Relapsing-Remitting Multiple Sclerosis: Role of the Primary Care Practitioner“. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 45, Nr. 3 (Mai 2018): 304–12. http://dx.doi.org/10.1017/cjn.2018.7.
Der volle Inhalt der QuelleAkor, S. E., M. O. Onoja-Alexander, B. E. Agbanna, D. A. Musa, O. O. Priscilla, O. G. Agama und F. J. Faith. „Infectious diseases co-morbidities among patients attending Kogi State University Teaching Hospital: a ten-year retrospective study“. African Journal of Clinical and Experimental Microbiology 23, Nr. 2 (13.05.2022): 215–20. http://dx.doi.org/10.4314/ajcem.v23i2.13.
Der volle Inhalt der QuelleAbbes, Hanen, Hafedh Abid, Kais Loukil, Ahmad Toumi und Mohamed Abid. „Etude comparative de cinq algorithmes de commande MPPT pour un système photovoltaïque“. Journal of Renewable Energies 17, Nr. 3 (19.10.2023). http://dx.doi.org/10.54966/jreen.v17i3.458.
Der volle Inhalt der QuelleDissertationen zum Thema "Algorithme de suivi d'objets"
Delamarre, Quentin. „Suivi du mouvement d'objets articulés dans des séquences d'images vidéo“. Nice, 2003. http://www.theses.fr/2003NICE4067.
Der volle Inhalt der QuelleWe introduce you to a method designed to provide the computer, the ability to automatically understand the motions of a markerless filmed human in a multi-cameras environment. In a first step, we decide to estimate the time extended motions variations. Secondly, these variations are interpreted in order to give them significance. After being retrieved from the video pictures, information are compared to a tracked object geometric model. These information could be a segmentation of the object silhouette in case of far distant cameras from each other, or a three-dimensional reconstruction in case of near distant cameras from each other. We ll explain why this distinction is made. In each case, we assume that the object geometry is known thanks to the build of a 3D model made of simple articulated rigid parts. The position parameters error correction is done by creating forces and by resolving the equations of the 3D articulated model dynamic. Information found in the pictures allow us to create such forces. Different steps of the algorithm are introduced: how to calibrate the cameras, the 3D model structure, the information retrieve process, how to apply forces to the model, its dynamic, the estimation and anticipation of the motion in the scene thanks to a Kalman filter. Finally, we expose encouraging results and try to give ideas in order to generalize the algorithm
Loesch, Angélique. „Localisation d'objets 3D industriels à l'aide d'un algorithme de SLAM contraint au modèle“. Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAC059/document.
Der volle Inhalt der QuelleIn the industry domain, applications such as quality control, automation of complex tasks or maintenance support with Augmented Reality (AR) could greatly benefit from visual tracking of 3D objects. However, this technology is under-exploited due to the difficulty of providing deployment easiness, localization quality and genericity simultaneously. Most existing solutions indeed involve a complex or an expensive deployment of motion capture sensors, or require human supervision to simplify the 3D model. And finally, most tracking solutions are restricted to textured or polyhedral objects to achieved an accurate camera pose estimation.Tracking any object is a challenging task due to the large variety of object forms and appearances. Industrial objects may indeed have sharp edges, or occluding contours that correspond to non-static and view-point dependent edges. They may also be textured or textureless. Moreover, some applications require to take large amplitude motions as well as object occlusions into account, tasks that are not always dealt with common model-based tracking methods. These approaches indeed exploit 3D features extracted from a model, that are matched with 2D features in the image of a video-stream. However the accuracy and robustness of the camera localization depend on the visibility of the object as well as on the motion of the camera. To better constrain the localization when the object is static, recent solutions rely on environment features that are reconstructed online, in addition to the model ones. These approaches combine SLAM (Simultaneous Localization And Mapping) and model-based tracking solutions by using constraints from the 3D model of the object of interest. Constraining SLAM algorithms with a 3D model results in a drift free localization. However, such approaches are not generic since they are only adapted for textured or polyhedral objects. Furthermore, using the 3D model to constrain the optimization process may generate high memory consumption,and limit the optimization to a temporal window of few cameras. In this thesis, we propose a solution that fulfills the requirements concerning deployment easiness, localization quality and genericity. This solution, based on a visual key-frame-based constrained SLAM, only exploits an RGB camera and a geometric CAD model of the static object of interest. An RGB camera is indeed preferred over an RGBD sensor, since the latter imposes limits on the volume, the reflectiveness or the absorptiveness of the object, and the lighting conditions. A geometric CAD model is also preferred over a textured model since textures may hardly be considered as stable in time (deterioration, marks,...) and may vary for one manufactured object. Furthermore, textured CAD models are currently not widely spread. Contrarily to previous methods, the presented approach deals with polyhedral and curved objects by extracting dynamically 3D contour points from a model rendered on GPU. This extraction is integrated as a structure constraint into the constrained bundle adjustment of a SLAM algorithm. Moreover we propose different formalisms of this constraint to reduce the memory consumption of the optimization process. These formalisms correspond to hybrid structure/trajectory constraints, that uses output camera poses of a model-based tracker. These formalisms take into account the structure information given by the 3D model while relying on the formalism of trajectory constraints. The proposed solution is real-time, accurate and robust to occlusion or sudden motion. It has been evaluated on synthetic and real sequences of different kind of objects. The results show that the accuracy achieved on the camera trajectory is sufficient to ensure a solution perfectly adapted for high-quality Augmented Reality experiences for the industry
Lafaye, de Micheaux Hugo. „Traitement d'images pour la ségrégation en transport de sédiments par charriage : morphologie et suivi d'objets“. Thesis, Lyon, 2017. http://www.theses.fr/2017LYSES008/document.
Der volle Inhalt der QuelleSediment transport in rivers and mountain streams remains poorly understood partly due to the polydispersity of particles and resulting segregation. Experiments in a channel were carried out to study bedload transport of bimodal bead mixtures. The behavior of the beads is recorded through video sequences. This work is about the development of image processing methods to analyse the obtained data. Firstly, we developed a method of image segmentation to study the infiltration of fine particles and its influence on the evolution of bed mobility. Thanks to this method, an experimental study shows that the bed slope evolution follows an exponential decay. Secondly, we optimised deterministic tracking algorithms to enable the study of trajectories on long-duration phenomena of segregation, which was not possible with previous work done at Irstea. Moreover we set up relevant evaluation measures and elaborated ground truth sequences to quantify the results. We observed benefits in execution time, consistency, precision and memory. Thirdly, we developed a new algorithm based on multiple model particle filtering to better deal with complex dynamics of particles and to gain robustness. This approach allows taking unreliable detections into account, correcting them and thus avoiding difficulties in the target tracking as encountered with the deterministic algorithm
Nghiem, Anh-Tuan. „Algorithmes adaptatifs d'estimation du fond pour la détection des objets mobiles dans les séquences vidéos“. Phd thesis, Université de Nice Sophia-Antipolis, 2010. http://tel.archives-ouvertes.fr/tel-00505881.
Der volle Inhalt der QuelleDulac, William. „Méthodes pour l'évaluation de l'activité cyclonique tropicale en changement climatique“. Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30315.
Der volle Inhalt der QuelleGiven their devastating impact on the populations and infrastructures of the countries concerned the future evolution of tropical cyclone activity in the context of global warming is an issue of great importance. Two methods exist for assessing tropical cyclone activity under climate change in climate models: the use of cyclone detection algorithms (trackers) or the use of cyclogenesis indices, which translate statistical relationships linking observed cyclone activity to large-scale atmospheric variables. These two methods tend to provide opposite projections in climate simulations. Motivated by this disagreement, this thesis proposes to explore these two approaches, with the aim of making improvements to each. Firstly, the CNRM tropical cyclone tracker is applied to the ERA5 reanalysis of the European Centre for Medium-Range Weather Forecasts, and evaluated using the IBTrACS database of cyclone observations. Its performance is evaluated in terms of detection probability and false alarm rate (POD and FAR), after optimizing detection parameters and applying an appropriate mid-latitude system filter. Several metrics for assessing the similarity of the tracks detected in ERA5 with those observed are then proposed and compared. These innovative metrics are complementary to POD and FAR, and show that optimizing detection parameters is accompanied by a slight improvement in track similarity. New cyclogenesis indices are then constructed on ERA5 by Poisson regression between large-scale thermal and dynamic predictors, and the IBTrACS database. The regressions are run at different spatial and temporal resolutions, as well as on a global scale and for different ocean basins. The increased temporal resolution enables the equatorial bias present in the most commonly used indices to be corrected. However, the interannual variability of the indices appears to be robust to changes in the weighting coefficients of the large-scale variables. Following this observation, the contribution of adding predictors to the regressions is evaluated on ERA5 as well as in the ARPEGE model; on the one hand by explicitly adding a diagnostic of the El Niño (ENSO) variability mode to the index, and on the other hand by replacing the relative humidity at 600 hPa by the integrated moisture saturation deficit on the column (VPD). The addition of ENSO diagnostics improves the interannual variability of the index in most ocean basins. Correlations with observed series are made statistically significant at the 95% threshold in all basins except the North Atlantic. The use of the VPD cancels out the upward trends in the historical period observed in indices based on relative humidity. The resulting index is therefore in better agreement with observations. When applied to very high-resolution ARPEGE climate simulations, under the RCP8.5 scenario, the VPD also amplifies the decrease in cyclonic activity
Reverter, Valeiras David. „Event-based detection and tracking“. Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066566/document.
Der volle Inhalt der QuelleThe main goal of this thesis is the development of event-based algorithms for visual detection and tracking. This algorithms are specifically designed to work on the output of neuromorphic event-based cameras. This type of cameras are a new type of bioinspired sensors, whose principle of operation is based on the functioning of the retina: every pixel is independent and generates events asynchronously when a sufficient amount of change is detected in the luminance at the corresponding position on the focal plane. This new way of encoding visual information calls for new processing methods. First, a part-based shape tracking is presented, which represents an object as a set of simple shapes linked by springs. The resulting virtual mechanical system is simulated with every incoming event. Next, a line and segment detection algorithm is introduced, which can be employed as an event-based low level feature. Two event-based methods for 3D pose estimation are then presented. The first of these 3D algorithms is based on the assumption that the current estimation is close to the true pose of the object, and it consequently requires a manual initialization step. The second of the 3D methods is designed to overcome this limitation. All the presented methods update the estimated position (2D or 3D) of the tracked object with every incoming event. This results in a series of trackers capable of estimating the position of the tracked object with microsecond resolution. This thesis shows that event-based vision allows to reformulate a broad set of computer vision problems, often resulting in simpler but accurate algorithms
Benahmed, Daho Omar. „Radar ULB pour la vision à travers les murs : mise au point d'une chaîne de traitement de l'information d'un radar imageur“. Thesis, La Rochelle, 2014. http://www.theses.fr/2014LAROS036/document.
Der volle Inhalt der QuelleThis report is focused on Through-the-wall surveillance (TTS) using UWB radar, with the objective of developing a complete information processing pipeline (IPP) which can be used by different types of imaging radar. To do this, we want to take into account any a priori information, nor on the target, or their environmental context. In addition, the IPP must meet criteria of adaptability and modularity to process information from two types of radar, including pulsed and FMCW developed in two projects that are part of the work of this thesis. Radar imaging is an important point in this context ; we approach it by combining backprojection and trilateration algorithms and show the improvement with the use of a CFAR detector taking into account the shape of the targets signatures.The development of the IPP is our main contribution. The flow of radar images obtained is divided into two parts. The first dynamic sequence contains moving targets are tracked by a multiple hypothesis approach. The second static sequence contains stationary targets and interior walls that are highlighted by Radon transformbases approach. We developed a simulator operating in time and frequency domain to design the algorithms of the IPP and test their robustness. Several simulated scenarios and experimental measurements show that our IPP is relevant and robust. It is thus validated for both radar systems
Jacquot, Aude. „Suivi d'objets en imagerie aérienne“. Phd thesis, Grenoble INPG, 2006. http://tel.archives-ouvertes.fr/tel-00379479.
Der volle Inhalt der QuelleLe thème principal de cette thèse est donc le suivi d'objets à partir d'images aériennes. Nous souhaitons utiliser la faisabilité d'une extraction d'information 3D à partir de séquences vidéo afin d'améliorer les algorithmes de suivi de matériels aéroportés existants. Pour cela, nous nous plaçons dans un cadre bayésien et formulons le suivi de manière probabiliste, au moyen d'un filtre particulaire. Nous avons mis en place trois algorithmes:
Le premier est basé sur des histogrammes de couleurs, que l'on combine à un filtrage particulaire;
c'est un suivi purement 2D dans le sens où aucune information 3D réelle de la scène est utilisée.
Le second est basé sur des modèles géométriques (qui peuvent être 2D ou 3D), que l'on combine à un filtrage particulaire. Nous ajoutons une étape supplémentaire au filtrage particulaire classique, nous permettant de changer de modèle lorsque l'algorithme le juge nécessaire.
Enfin, le dernier algorithme combine les deux précédents; l'intégration d'histogrammes de couleurs et d'informations de contours dans un filtre particulaire permet non seulement de rendre le suivi d'objets plus robuste, mais aussi de prendre en compte de l'information 3D réelle de la scène observée.
Un protocole d'évaluation a été mis en place pour évaluer les performances de ces algorithmes. Des résultats illustrent les performances de ces algorithmes.
Romero, Mier y. Teran Andrés. „Real-time multi-target tracking : a study on color-texture covariance matrices and descriptor/operator switching“. Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-01002065.
Der volle Inhalt der QuelleKumar, Ratnesh. „Segmentation vidéo et suivi d'objets multiples“. Thesis, Nice, 2014. http://www.theses.fr/2014NICE4135/document.
Der volle Inhalt der QuelleIn this thesis we propose novel algorithms for video analysis. The first contribution of this thesis is in the domain of video segmentation wherein the objective is to obtain a dense and coherent spatio-temporal segmentation. We propose joining both spatial and temporal aspects of a video into a single notion Fiber. A fiber is a set of trajectories which are spatially connected by a mesh. Fibers are built by jointly assessing spatial and temporal aspects of the video. Compared to the state-of-the-art, a fiber based video segmentation presents advantages such as a natural spatio-temporal neighborhood accessor by a mesh, and temporal correspondences for most pixels in the video. Furthermore, this fiber-based segmentation is of quasi-linear complexity w.r.t. the number of pixels. The second contribution is in the realm of multiple object tracking. We proposed a tracking approach which utilizes cues from point tracks, kinematics of moving objects and global appearance of detections. Unification of all these cues is performed on a Conditional Random Field. Subsequently this model is optimized by a combination of message passing and an Iterated Conditional Modes (ICM) variant to infer object-trajectories. A third, minor, contribution relates to the development of suitable feature descriptor for appearance matching of persons. All of our proposed approaches achieve competitive and better results (both qualitatively and quantitatively) than state-of-the-art on open source datasets
Bücher zum Thema "Algorithme de suivi d'objets"
Eds, Back-To-School, und Donnie DE BRACIER. Ça S'appelle Reviens: Registre Indispensable de Suivi de Prêts Ou de Locations D'objets. Independently Published, 2021.
Den vollen Inhalt der Quelle finden