<p>The purpose of this master thesis was to study computer vision algorithms for vehicle detection in monochrome images captured by mono camera. The work has mainly been focused on detecting rear-view cars in daylight conditions. Previous work in the literature have been revised and algorithms based on edges, shadows and motion as vehicle cues have been modified, implemented and evaluated. This work presents a combination of a multiscale edge based detection and a shadow based detection as the most promising algorithm, with a positive detection rate of 96.4% on vehicles at a distance of between 5 m to 30 m. For the algorithm to work in a complete system for vehicle detection, future work should be focused on developing a vehicle classifier to reject false detections.</p>

The purpose of this master thesis was to study computer vision algorithms for vehicle detection in monochrome images captured by mono camera. The work has mainly been focused on detecting rear-view cars in daylight conditions. Previous work in the literature have been revised and algorithms based on edges, shadows and motion as vehicle cues have been modified, implemented and evaluated. This work presents a combination of a multiscale edge based detection and a shadow based detection as the most promising algorithm, with a positive detection rate of 96.4% on vehicles at a distance of between 5 m to 30 m. For the algorithm to work in a complete system for vehicle detection, future work should be focused on developing a vehicle classifier to reject false detections.

Prestationsmätning och analys används inom sporter för att förbättra en spelares resultat relaterade till sin respektive sport. För analys finns labb och/eller dyr utrustning vilket gör den svårtillgänglig för icke-professionella utövare. Att minska kostnaden för mätverktyg bidrar till mer jämlika förutsättningar för spelare oavsett inkomst eller ålder. Den här studien syftar till att undersöka om en smartphone eller surfplatta kan användas för mätning och sportanalys. För att utforska detta utvecklades en applikation med fokus på projektilsporter som fotboll, tennis och golf. Applikationen testar visualisering av ett objekts parabel, mätning av dess hastighet och visualisering av dess träff i ett vertikalt plan. Applikationen utvecklades för iOS och testades på en iPad 12 pro. Tester för att validera applikationens noggrannhet utfördes med en fotboll, en tennisboll och en golfboll. Testresultaten för visualisering av parabel gav resultat för fotboll och tennisboll men kunde inte hantera golfbollens mindre storlek. Hastighet kunde mätas för alla tre bollar med en genomsnittlig procentuell avvikelse på 76% för fotboll, 21% för tennisboll och 43% för golfboll. Testresultaten för visualisering av ett objekts träff i ett målplan visade resultat för fotboll och tennisboll, men inte för en golfboll. Den genomsnittliga procentuella avvikelsen var 89% för fotboll respektive 23% för tennisboll. / Measuring and analyzing player performance within sports helps to improve a players results in regards to their respective sport. Specialized labs and or expensive equipment are used for analysis but are difficult to access for the average player. Decreasing the cost of measurement tools would help equalize the playing field for players regardless of age or economic background. This study evaluates if a smartphone or tablet can be used to perform the same task. To achieve this an application was developed with a focus on projectile sports such as soccer, tennis, or golf. The application will visualize a parabola, measure speed, and visualize the point where an object hits a vertical plane. The application was developed for iOS and was tested on an iPad 12 pro. The tests were performed with a soccer ball, tennis ball and golf ball. Tests for visualizing a parabola produced results for the soccer ball and the tennis ball but could not handle the golf balls smaller size. Speed was measured for all three balls with an average percentual offset of 76% for the soccer ball, 21% for the tennis ball and 43% for the golf ball. Hit on a vertical plan produced results for the soccer ball and tennis ball with an average percentual offset of 89% for the soccer ball and 23% for the tennis ball.