Recent developments in video analysis of sports and computer vision techniques have achieved significant improvements to enable a variety critical operations. To provide enhanced information, such as detailed complex soccer, basketball, cricket, badminton, studies focused mainly on employed carry out different tasks. This paper presents comprehensive review for various applications: high-level ...

This work presents a unique new dataset and objectives for action analysis. The data presents 3 key challenges: tracking, classification, and judging action quality. The last of these, to our knowledge, has not yet been attempted in the vision literature as applied to sports where technique is scored. This work performs an initial analysis of the dataset with classification experiments, confirm...

This research paper presents the development of computer vision-enabled augmented reality games based on action detection to increase motivation for sports. With increasing popularity digital games, physical activity and sports participation have been declining, especially among younger generation. To address this issue, we developed a series that require players perform actions progress succee...

Target tracking is widely applied to monitoring, video coding and military industry. It is a challenge for computer vision that how to conduct effective tracking in video sequences. Of that the main section is to choose proper features and search matching algorithm rapidly. As an effective matching algorithm, due to no exhaustive search required, Mean Shift is successfully applied in target tra...

Equitation science is an evidence-based approach to horse training and riding that focuses on a thorough understanding of both equine ethology and learning theory. This combination leads to more effective horse training, but also plays a role in keeping horse riders and trainers safe around horses. Equitation science underpins ethical equitation, and recognises the limits of the horse's cogniti...

In recent years, IT convergence technology has been developed to get creative solution by combining robotics or sports science technology. Object detection and recognition have mainly applied to sports science field that has processed by recognizing face and by tracking human body. But object detection and recognition using vision sensor is challenge task in real world because of illumination. ...

This paper overviews the role of the sports coach is hugely varied, but it mainly involves: Teaching rules, techniques and tactics to beginners. Providing an objective view to help teams and individuals enhance performance. Helping those involved in top level sport deal with enormous pressures faced in a highly competitive environment. Through expert tutoring, constructive criticism, motivation...

Gesture and motion analysis is a highly needed process in the athletics field. This is especially true for sports dealing with acrobatics, because acrobatics mix complex spatial rotations over multiple axes and may be combined with various postures. This paper presents a new vision-based system focused on the analysis of acrobatic gestures of several sports. Instead of classical systems requiri...

When watching a baseball player hit, it is clear that vision is a dominant sensory system. The visual skills of a baseball player go beyond static visual acuity (ability to see clearly in a non-moving position while looking at a nonmoving object); hitters must use their vision dynamically. These dynamic visual skills include stereo acuity (depth perception), visual attention, eye movements, dyn...