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The main aim and meaning of this thesis is to provide the organisation of Dukla Plzeň with realistic inputs for work with motivation and stimulation of sports shooters, based on theory and empirical research. Areas focused on by empirical research are sports performance and sports and performance motivation of shooters in Dukla Plzeň. Methods used for researching are a written questionnaire and personal, oral interviewing. The empirical research identifies motives of shooters for participation in sports shooting and motivational and stimulating factors impacting one's sports performance. Based on obtained research results, ways to motivate and stimulate individuals to sports shooting and increased sports performance are suggested. The research reveals interesting and surprising learnings, fully utilizable for coaching practice at Dukla Plzeň. A similar research has neither been conducted at Dukla Plzeň, nor at other shooting clubs in the Czech Republic; thus, it is being very popular with the management of Dukla Plzeň.

This thesis deal with processing business plan for foundation company ZKZ-Magnum s. r. o., whose main operation will rendition of services in the area of sports shooting. Proposal for foundation of company analyses emergent firm and includes conditions, behind wich it is possible plan realize.

Poängräkning och resultatanalys vid skytteträning är en viktig aspekt i utvecklingen av skyttens skjutförmåga. En bildbaserad träffpunktdetektionsalgoritm skulle automatisera denna process och bidra med digital presentation av resultatet. Befintliga lösningar är högkvalitativa metoder som detekterar träffpunkter med hög precision. Dessa lösningar är dock anpassade efter orealistiska användningsfall där måltavlor i gott skick som beskjutits vid ett enda tillfälle fotograferas i gynnsamma miljöer. Realistiska skytteförhållanden förekommer utomhus där träffpunkterna täcks med klisterlappar mellan skottrundorna och måltavlorna återanvänds tills dem faller sönder. Detta kandidatarbete introducerar en metod för automatisk detektion av träffar anpassad efter realistiska användningssituationer och bygger på tillgängliga bildanalystekniker. Den föreslagna metoden detekterar punkter med 40 procent noggrannhet i lågkvalitativa måltavlor och uppnår 88 procents noggrannhet i måltavlor av hög kvalitet. Dock produceras ett betydande antal falska positiva utfall. Resultatet påvisar möjligheten att utveckla ett sådant system och belyser de problem som tillkommer en sådan implementation. / Score calculation and performance analysis on shooting targets is an important aspect in development of shooting ability. An image based automatic scoring algorithm would provide automation of this procedure and digital visualization of the result. Prevailing solutions are high quality algorithms detecting hit points with high precision. However, these methods are adapted to unrealistic use cases where single-used, high-quality target boards are photographed in favourable environments. Usually gun shooting is performed outdoors where bullet holes are covered with stickers between shooting rounds, and targets are reused until they fall apart. This bachelor thesis introduces a method of automatic hit point detection adapted to realistic shooting conditions and relies solely on available image processing techniques. The proposed algorithm detects holes with 40 percent detection rate in low-quality target boards, reaching 88 percent detection rate in targets of higher quality. However, producing a significant number of false positives. The result demonstrates the possibilities of developing such a system and highlights the difficulties associated with such an implementation.