Enhanced Augmented Reality Framework for Sports Entertainment Applications

Augmented Reality (AR) superimposes virtual information on real-world data, such as displaying useful information on videos/images of a scene. This dissertation presents an Enhanced AR (EAR) framework for displaying useful information on images of a sports game. The challenge in such applications is robust object detection and recognition. This is even more challenging when there is strong sunlight. We address the phenomenon where a captured image is degraded by strong sunlight. The developed framework consists of an image enhancement technique to improve the accuracy of subsequent player and face detection. The image enhancement is followed by player detection, face detection, recognition of players, and display of personal information of players. First, an algorithm based on Multi-Scale Retinex (MSR) is proposed for image enhancement. For the tasks of player and face detection, we use adaptive boosting algorithm with Haar-like features for both feature selection and classification. The player face recognition algorithm uses adaptive boosting with the LDA for feature selection and nearest neighbor classifier for classification. The framework can be deployed in any sports where a viewer captures images. Display of players-specific information enhances the end-user experience. Detailed experiments are performed on 2096 diverse images captured using a digital camera and smartphone. The images contain players in different poses, expressions, and illuminations. Player face recognition module requires players faces to be frontal or up to ?350 of pose variation. The work demonstrates the great potential of computer vision based approaches for future development of AR applications.COMSATS Institute of Information Technolog

Augmented Reality in Sport Broadcasting

For a large portion of its history, sport broadcasting has been stagnant when it comes to incorporating new and innovative technologies. However, due to declining viewership and consumer desire for customizable content, augmented reality graphics have begun to be incorporated into multiple sport broadcast products. In fact, the UEFA Champions League, NBA, NFL, and NHL have all used or indicated their intention to utilize AR graphics in future broadcasts. Considering that media rights revenue is the main source of revenue to sport properties and organizations, it is important to carefully consider how the core product (the broadcast) is presented. The study examined consumer attitudes and intentions towards AR in sport broadcasts by utilizing three types of broadcasts of an NBA game. One of the broadcasts was a traditional broadcast format with no AR enhancement and the other two were enhanced with AR graphics, a coach-mode broadcast that featured AR player tracking and play diagramming while the other enhanced broadcast, mascot-mode, featured AR graphics similar to a video game with over-the-top animations. Results of the current study provide insight into consumer preferences towards AR in sport broadcasting and guidance to sport properties planning to utilize broadcast AR graphics. Specifically, that sport consumers were significantly more likely to re-view (p \u3c .05) and recommend via word of mouth (p \u3c .05) the coach-mode AR than the mascot-mode AR. Sport involvement was a significant factor for how sport fans perceive the AR broadcast types through incorporating the perspective of the elaboration likelihood model