Searched for: subject%3A%22Object%255C+Tracking%22
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Schuurmans, Juul (author)
Inadvertent bird nest destruction by autonomous mowing machines poses significant threats to the breeding success of meadow birds. Drone-based detection methods represent the current state-of-the-art for bird nest localization to attain mower circumvention. However, they only identify 80% of bird nests with average localization error of 3.344...
master thesis 2023
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Chen, Yue (author)
Tactile Internet (TI) is a pioneering network paradigm that aims to communicate haptic feedback with ultra-low latency. It will enable new ways for us to interact with remote environments, such as transferring skills over the network and controlling remote objects. One crucial component of this framework is the ability to track the position and...
bachelor thesis 2023
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ZHONG, Yigen (author)
Tracker-level fusion (TLF) is recognized as an effective approach to comprehensively improve visual object tracking performance by combining the capabilities of multiple baseline trackers. Although there is considerable interest in TLF, there are still challenges related to insufficient understanding, high cost, and unstable performance that...
master thesis 2023
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Domhof, J.F.M. (author)
The aim of the thesis is to develop methods and algorithms for the development of a robust perception system that is capable of dealing with adverse weather conditions. Robust environmental perception is important in order to guarantee safety for the automated vehicle and the road users in the neighborhood. To create a robust perception system,...
doctoral thesis 2022
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van Berlo, Kilian (author)
Humans interact more and more at a distance these days. Where currently, this interaction is mainly visual and auditory, Tactile Internet (TI) also allows for remote kinesthetic interactions. With the devel- opment of TI, a paradigm shift is on the horizon where the current internet evolves from content delivery to a skill-set delivery network....
master thesis 2022
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Mignacco, Chiara (author)
Since their introduction in 1993, particle filters are amongst the most popular algorithms for performing Bayesian inference on state space models that do not admit an analytical solution. In this thesis, we will present several particle filtering algorithms adapted to a class of models known as Piecewise Deterministic Markov Processes (PDMP), i...
master thesis 2022
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Olaru, Alexandra (author)
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time. This paper provides a model to track objects in neuromorphic datasets, using clustering. In addition, a non-linear filter is...
bachelor thesis 2022
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Rassels, K. (author), French, P.J. (author)
Neonates can show sudden rapid body movements when they are in pain, need care, or need to be fed. They can also be very quiet and immovable or move very slowly when they are asleep or being fed. Monitoring a neonate's body temperature for a long time provides physicians and nurses valuable information about the health condition of the baby....
conference paper 2022
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Li, M. (author), Li, J. (author), Tamayo, A. (author), Nan, L. (author)
This paper presents a method for multiple object tracking (MOT) in video streams. The method incorporates the prediction of physical locations of people into a tracking-by-detection paradigm. We predict the trajectories of people on an estimated ground plane and apply a learning-based network to extract the appearance features across frames....
journal article 2022
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Marcelis, N.H.H. (author)
With the performance of current motion planning methods being highly dependent on the quality of the perception system, robust 3D multi-object detection and tracking are vital for autonomous driving applications. Despite all the advancements in 2D and 3D object detectors, robust tracking of pedestrians in dense scenarios is still a challenging...
master thesis 2021
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Radhakrishnan, Prakash (author)
Simultaneous Localisation and Mapping (SLAM) provide a novel solution for the robots to localise and navigate an unknown environment. Initial SLAM research focused mainly on the indoor environment, assuming the background to be primarily static. In contrast, the real world has dynamic interactions that restrict the implementation of SLAM to...
master thesis 2021
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Surendranadha Panicker, Sarath (author)
Diversey BV, a major player of professional hygiene product manufacturing, is facing challenges with agile manufacturing of hygienic products with changeover process consuming most of production time. They are collaborating with the EU-Horizon 2020 COALA project to develop a cognitive intelligent assistant for the production line. They expect to...
master thesis 2021
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Guinea Perez, Javier (author)
The objective of this thesis was to develop a rodent tracker using the FlashTrack implants, and allow for tracking data to be used for behavioural research. The task was split into three main problems: detection, tracking and error detection. The detection was solved with basic image processing. The first step was background removal, using...
master thesis 2021
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Rajput, Pranjal (author)
Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating bounding boxes in such large-scale datasets is cost-inefficient....
master thesis 2020
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Mittal, Rishabh (author)
With the increasing popularity of active modes (mainly pedestrians and bicycles), the spaces shared amongst these modes are also rising. Such spaces are often referred to as shared spaces and can often be seen in public areas near train stations, shopping streets and educational institutions. Such spaces are said to enhance safety and resolve...
master thesis 2020
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Betting, J.L.F. (author), Romano, Vincenzo (author), Al-Ars, Z. (author), Bosman, L.W.J. (author), Strydis, C. (author), De Zeeuw, Chris I. (author)
Rodents engage in active touch using their facial whiskers: they explore their environment by making rapid back-and-forth movements. The fast nature of whisker movements, during which whiskers often cross each other, makes it notoriously difficult to track individual whiskers of the intact whisker field. We present here a novel algorithm,...
journal article 2020
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Katsaounis, Georgios (author)
Recent advances in sensor technology have lead to increased resolution of novel sensors, while tracking applications where distance between sensors and objects of interest is very small have gained research interest recently. In these cases, it is possible that multiple sensor detections are generated by each object of interest. Extended Object...
master thesis 2019
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Mullenders, Vincent (author)
Imagine standing under a load with a weight equivalent to more than 5,000 Tesla’s model X. Panicking is not an option and you need to be fully focused on completing a crucial task. There is no option to leave this precarious situation and your contribution is vital to the success of a multi-million dollar project. Sounds frightening, right?...
master thesis 2019
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Krebs, S.A. (author), Braun, M. (author), Gavrila, D. (author)
This paper presents an approach to generate dense person 3D trajectories from sparse image annotations on-board a moving platform. Our approach leverages the additional information that is typically available in an intelligent vehicle setting, such as LiDAR sensor measurements (to obtain 3D positions from detected 2D image bounding boxes) and...
conference paper 2019
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Dul, Ricky (author)
This thesis describes the design process of a novel portable interactive storytelling tool for the corporate presentation market. The tool allows the user to tell complex stories in a clear and engaging manner by relieving the restrictions found in linear presentation tools such as slide decks. The product consists of a tabletop downwards firing...
master thesis 2018
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