Download or read book Resource Flexibility and Strategy in Multiple Object Tracking written by Annie Tran and published by . This book was released on 2017 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tracking capacity is typically defined by a limitation of 3-4 objects, suggesting that there may be a structural constraint on attentional resources for tracking (Pylyshyn & Storm, 1988). In this view, tracking capacity is item limited and the amount of resources allocated to each object is fixed. However, studies have found that tracking limits can be extended to 8 or more objects with appropriate reductions in velocity (Alvarez and Franconeri, 2007). Contrary to the discrete resource account, these findings suggest that tracking may depend on a continuous limited-capacity system in which a finite resource is divided among tracked objects in varying amounts, depending on tracking difficulty. The present set of experiments examined the nature of the resource limitations observed in multiple object tracking. ☐ The continuous resource model posits that participants can only increase the number of objects tracked by reducing the amount of resource allocated to each tracked object with accompanying reductions in the spatial precision of tracking. This prediction was evaluated using a novel version of the MOT task in conjunction with a mixture model to obtain separate estimates of the number of objects tracked and tracking precision as the number of objects to-be-tracked was varied between 1 and 6. The results showed marked individual differences at high tracking loads, where half of the participants tracked only a few targets with high precision while the remaining half tracked many targets with low precision. Experiment 2 explored whether these individual differences reflected fixed differences in the underlying tracking architecture or different strategies that could be freely adopted by any observer. Participants were instructed and incentivized to maximize the number of objects tracked at the expense of precision to determine whether tracking performance is flexible to strategy. Many but not all observers were able to flexibly trade off precision in favor of a larger number of tracked targets. These results are consistent with models that point to a limited resource whose allocation is flexibly determined by tracking demands. ☐ The flexibility of attention allocation was further tested in Experiment 3 to examine whether resources can be endogenously varied between targets. High priority targets were tracked with greater precision than low priority targets, indicating that differential amounts of attention could be distributed between tracked objects. Experiment 4 examined whether tracking resources are hemifield specific or if a common pool is shared across visual fields. Although tracking two objects was just as precise as tracking a single object when they were presented bilaterally, distractors were more likely to be mistaken for tracked objects with increased set size regardless of spatial arrangement. The results support a bilateral advantage in tracking, but not independence. Experiment 5 investigated whether people attend to all tracked objects simultaneously or if each object is attended serially. ERPs were used to measure online processing of task-relevant probes on moving objects. Consistent with a parallel account, probes occurring on tracked objects were processed with no delay regardless of the number of objects tracked, while probes on distractor objects were processed with significant delays. ☐ In summary, these results are consistent with continuous resource models that assume that tracking additional objects is accompanied by reductions in tracking precision. Allocation of this resource is subject to individual differences that depend partly on strategy but may also reflect differences in total capacity. Furthermore, people can flexibly allocate variable amount of tracking resources between targets. This resource appears to be largely hemifield specific and allocated in parallel to tracked objects.

Download or read book Taking Mobile Multi Object Tracking to the Next Level written by Dennis Mitzel and published by . This book was released on 2014 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen considerable progress in automotive safety and autonomous navigation applications, fueled by the remarkable advance of individual Computer Vision components, such as object detection, tracking, stereo and visual odometry. The goal in such applications is to automatically infer semantic understanding from the environment, observed from a moving vehicle equipped with a camera system. The pedestrian detection and tracking components constitute an actively researched part in scene understanding, important for safe navigation, path planning, and collision avoidance. Classical tracking-by-detection approaches require a robust object detector that needs to be executed in every frame. However, the detector is typically the most computationally expensive component, especially if more than one object class needs to be detected. A first goal of this thesis was to develop a vision system based on stereo camera input that is able to detect and track multiple pedestrians in real-time. To this end, we propose a hybrid tracking system that combines a computationally cheap low-level tracker with a more complex high-level tracker. The low-level trackers are either based on level-set segmentation or stereo range data together with a point registration algorithm and are employed in order to follow individual pedestrians over time, starting from an initial object detection. In order to cope with drift and to bridge occlusions that cannot be resolved by low-level trackers, the resulting tracklet outputs are fed to a high-level multihypothesis tracker, which performs longer-term data association. With this integration we obtain a real-time tracking framework by reducing object detector applications to fewer frames or even to few small image regions when stereo data is available. Reduction of expensive detector evaluations is especially relevant for the deployment on mobile platforms, where real-time performance is crucial and computational resources are notoriously

Download or read book Multi Strategy Learning Environment written by Vrince Vimal and published by Springer Nature. This book was released on with total page 710 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Visual Tracking of Articulated and Flexible Objects written by Daniel Wesierski and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans can visually track objects mostly effortlessly. However, it is hard for a computer to track a fast moving object under varying illumination and occlusions, in clutter, and with varying appearance in camera projective space due to its relaxed rigidity or change in viewpoint. Since a generic, precise, robust, and fast tracker could trigger many applications, object tracking has been a fundamental problem of practical importance since the beginnings of computer vision. The first contribution of the thesis is a computationally efficient approach to tracking objects of various shapes and motions. It describes a unifying tracking system that can be configured to track the pose of a deformable object in a low or high-dimensional state-space. The object is decomposed into a chained assembly of segments of multiple parts that are arranged under a hierarchy of tailored spatio-temporal constraints. The robustness and generality of the approach is widely demonstrated on tracking various flexible and articulated objects. Haar-like features are widely used in tracking. The second contribution of the thesis is a parser of ensembles of Haar-like features to compute them efficiently. The features are decomposed into simpler kernels, possibly shared by subsets of features, thus forming multi-pass convolutions. Discovering and aligning these kernels within and between passes allows forming recursive trees of kernels that require fewer memory operations than the classic computation, thereby producing the same result but more efficiently. The approach is validated experimentally on popular examples of Haar-like features.

Download or read book Higher order Multiple Object Tracking written by Roberto D. Henschel and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Handbook of Multisensor Data Fusion written by Martin Liggins II and published by CRC Press. This book was released on 2017-01-06 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Download or read book Objects and Attention written by Brian J. Scholl and published by MIT Press. This book was released on 2002 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of object-based models of attention.

Download or read book Advances in Multi Sensor Information Fusion Theory and Applications 2017 written by Xue-Bo Jin and published by MDPI. This book was released on 2018-06-26 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

Download or read book Multiple Object Tracking Using Video Segmentation written by Tony Tran and published by . This book was released on 2010 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Cognitive Neuroscience of Attention written by Michael I. Posner and published by Guilford Press. This book was released on 2012-01-01 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative reference provides a comprehensive examination of the nature and functions of attention and its relationship to broader cognitive processes. The editor and contributors are leading experts who review the breadth of current knowledge, including behavioral, neuroimaging, cellular, and genetic studies, as well as developmental and clinical research. Chapters are brief yet substantive, offering clear presentations of cutting-edge concepts, methods, and findings. The book addresses the role of attention deficits in psychological disorders and normal aging and considers the implications for intervention and prevention. It includes 85 illustrations. New to This Edition *Significant updates and many new chapters reflecting major advances in the field. *Important breakthroughs in neuroimaging and cognitive modeling. *Chapters on the development of emotion regulation and temperament. *Expanded section on disorders, including up-to-date coverage of ADHD as well as chapters on psychopathy and autism. *Chapters on cognitive training and rehabilitation.

Download or read book Final Report on a Study of the Multiple Object Tracking System written by Phebco, Inc., Baltimore and published by . This book was released on 1954 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science written by Scientific Committee and published by BRILL. This book was released on 2023-09-14 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book of Abstracts is the main publication of the 72nd Annual Meeting of the European Federation of Animal Science (EAAP). It contains abstracts of the invited papers and contributed presentations of the sessions of EAAP's eleven Commissions: Animal Genetics, Animal Nutrition, Animal Management and Health, Animal Physiology, Cattle Production, Sheep and Goat Production, Pig Production, Horse Production and Livestock Farming Systems, Insects and Precision Livestock Farming.

Download or read book Real time Multi object Tracking written by Daniel Eugen Roth and published by . This book was released on 2010 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Deep Similarity Metric Learning for Multiple Object Tracking written by Bonan Cuan and published by . This book was released on 2019 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple object tracking, i.e. simultaneously tracking multiple objects in the scene, is an important but challenging visual task. Objects should be accurately detected and distinguished from each other to avoid erroneous trajectories. Since remarkable progress has been made in object detection field, “tracking-by-detection” approaches are widely adopted in multiple object tracking research. Objects are detected in advance and tracking reduces to an association problem: linking detections of the same object through frames into trajectories. Most tracking algorithms employ both motion and appearance models for data association. For multiple object tracking problems where exist many objects of the same category, a fine-grained discriminant appearance model is paramount and indispensable. Therefore, we propose an appearance-based re-identification model using deep similarity metric learning to deal with multiple object tracking in mono-camera videos. Two main contributions are reported in this dissertation: First, a deep Siamese network is employed to learn an end-to-end mapping from input images to a discriminant embedding space. Different metric learning configurations using various metrics, loss functions, deep network structures, etc., are investigated, in order to determine the best re-identification model for tracking. In addition, with an intuitive and simple classification design, the proposed model achieves satisfactory re-identification results, which are comparable to state-of-the-art approaches using triplet losses. Our approach is easy and fast to train and the learned embedding can be readily transferred onto the domain of tracking tasks. Second, we integrate our proposed re-identification model in multiple object tracking as appearance guidance for detection association. For each object to be tracked in a video, we establish an identity-related appearance model based on the learned embedding for re-identification. Similarities among detected object instances are exploited for identity classification. The collaboration and interference between appearance and motion models are also investigated. An online appearance-motion model coupling is proposed to further improve the tracking performance. Experiments on Multiple Object Tracking Challenge benchmark prove the effectiveness of our modifications, with a state-of-the-art tracking accuracy.

Download or read book Handbook of Research on Modeling Analysis and Control of Complex Systems written by Azar, Ahmad Taher and published by IGI Global. This book was released on 2020-12-05 with total page 685 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current literature on dynamic systems is quite comprehensive, and system theory’s mathematical jargon can remain quite complicated. Thus, there is a need for a compendium of accessible research that involves the broad range of fields that dynamic systems can cover, including engineering, life sciences, and the environment, and which can connect researchers in these fields. The Handbook of Research on Modeling, Analysis, and Control of Complex Systems is a comprehensive reference book that describes the recent developments in a wide range of areas including the modeling, analysis, and control of dynamic systems, as well as explores related applications. The book acts as a forum for researchers seeking to understand the latest theory findings and software problem experiments. Covering topics that include chaotic maps, predictive modeling, random bit generation, and software bug prediction, this book is ideal for professionals, academicians, researchers, and students in the fields of electrical engineering, computer science, control engineering, robotics, power systems, and biomedical engineering.

Download or read book Multiple Object Tracking Systems written by P. J. Gregory and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Generic Multiple Object Tracking written by Wenhan Luo and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: