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1	Hur påverkas idrottsvarumärken av sponsoravtal med spelbolag? : En komparativ studie mellan Linköping HC och Brynäs IF Corsini, Michael, Edman, Charlie January 2019 (has links) Today' s Sport organizations faces many challenges; they are to compete not just only on the pitch but also in many other fields. The commercialization of sports has contributed to that these sport organizations has evolved to be more like a regular company rather than just a non-profit sport team. With it comes the importance of brand and sponsorship. Today in 2019 it’s more common than ever that companies that offers gambling sponsor sport organizations. Public debate about the topic has concluded that gambling addiction is a growing public health problem in Sweden. This creates a dilemma for sport clubs and their directors, funding from sponsors is crucial for the success of the team but at the same time these sport clubs need to care about their brand. The purpose of this study is to examine how the attitudes of the supporters is affected by the sponsor agreements with gambling companies. The study also aims at seeking understanding in how sport organizations act according with Corporate Social Responsibility and the ideals of sports. To examine this topic five different theories has been used, in which four are brand theories and one is the Corporate Social Responsibility. The brand theories are as follows: Brand Equity, Brand Relationships, Word of Mouth and Brand Image Transfer. This study uses Triangulation as a method in form as semi-structured interviews and surveys. The result from this study implies that supporters indeed has negative attitudes towards gambling organizations, these negative attitudes affect sport brands in a negative way. Sponsorship deals from other organizations that the supporters have positive attitudes towards can help to decrease these negative impacts. The result also implies that most of the supporters doesn’t have an opinion about the club’s sponsorship deals. / Dagens idrottsorganisationer ställs inför mängder med utmaningar, de behöver inte bara nå framgång på planen utan även inom många andra områden. Idrottens kommersialisering har bidragit till att föreningar drivs mer och mer som ett företag, där varumärke och sponsring är två centrala delar. Samtidigt har de sin grund i idrotten och dess normer samt ideal. Just nu, år 2019, är det vanligt förekommande att spelbolag sponsrar idrottsverksamheter. Detta är någonting som skapat en stor samhällsdebatt då många, inklusive folkhälsoinstitutet, menar att spelmissbruk är ett växande folkhälsoproblem i Sverige. Detta skapar ett stort dilemma för idrottsklubbarna, samtidigt som de behöver kapital för att bedriva verksamheten behöver de också värna om sitt varumärke. Studiens syfte är att söka förståelse för hur supportrarnas syn på idrottsvarumärkena påverkas av spelbolagens sponsring; samt hur idrottsorganisationerna förhåller sig till Corporate Social Responsibility och idrottens normer och värderingar. För att undersöka detta har de fyra varumärkesteorierna Brand Equity, Brand Relationships, Word of Mouth och Brand Image Transfer använts i denna studie. Corporate Social Responsibility har även använts som en kompletterande teori. I Studien används triangulering som forskningsmetod, där representanter från Brynäs IF och Linköping HC medverkat i semi-strukturerade intervjuer. Dessutom har 238 supportrar till Brynäs IF och 100 supportrar till Linköping HC svarat på studiens enkätundersökning. Resultatet i denna studie visar att det existerar negativa attityder gentemot spelbolag från klubbarnas supportrar, dessa negativa attityder har visat att det bidrar till en negativ påverkan på klubbarnas varumärken. Resultatet visar också att samma sponsoravtal kan ha varierande påverkan på olika klubbars varumärke. Sponsoravtal som supportrarna ställer sig positiva till kan dock hjälpa till att motverka dessa negativa effekter. Resultatet visar att de flesta av klubbarnas supportrar är neutralt inställda till klubbarnas sponsoravtal. brand sponsorship sports gambling Betsson Bauhaus Linkoping HC Brynas IF SHL varumärke sponsring idrott spelbolag Betsson Bauhaus Linköping HC Brynäs IF SHL Business Administration Företagsekonomi
2	Incorporating Scene Depth in Discriminative Correlation Filters for Visual Tracking Stynsberg, John January 2018 (has links) Visual tracking is a computer vision problem where the task is to follow a targetthrough a video sequence. Tracking has many important real-world applications in several fields such as autonomous vehicles and robot-vision. Since visual tracking does not assume any prior knowledge about the target, it faces different challenges such occlusion, appearance change, background clutter and scale change. In this thesis we try to improve the capabilities of tracking frameworks using discriminative correlation filters by incorporating scene depth information. We utilize scene depth information on three main levels. First, we use raw depth information to segment the target from its surroundings enabling occlusion detection and scale estimation. Second, we investigate different visual features calculated from depth data to decide which features are good at encoding geometric information available solely in depth data. Third, we investigate handling missing data in the depth maps using a modified version of the normalized convolution framework. Finally, we introduce a novel approach for parameter search using genetic algorithms to find the best hyperparameters for our tracking framework. Experiments show that depth data can be used to estimate scale changes and handle occlusions. In addition, visual features calculated from depth are more representative if they were combined with color features. It is also shown that utilizing normalized convolution improves the overall performance in some cases. Lastly, the usage of genetic algorithms for hyperparameter search leads to accuracy gains as well as some insights on the performance of different components within the framework. Tracking Visual Deep Learning Machine Learning CNN Convolutional Neural Network Unsupervised Learning Clustering Genetic Algorithms Features Visual featues Channel Coding RGBD Scene Depth Map Kinect Discriminative Correlation Filters SRDCF DCF Spatial Spatially Regularized Hyperparameter Search Occlusion Detection Handling Kalman Filters Normalized Convolution Bayesian Gaussian Mixture Scale Estimation Conjugate Gradient Linkoping Sweden Visuell Följning Särdrag Djupa Faltningsnätverk Maskininlärning Djup Inlärning Genetiska Algoritmer Klustring Djup RGBD Linköping Sverige

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Hur påverkas idrottsvarumärken av sponsoravtal med spelbolag? : En komparativ studie mellan Linköping HC och Brynäs IF

Incorporating Scene Depth in Discriminative Correlation Filters for Visual Tracking