Recent advancements in human motion capture have made it possible to capture motion from RGB photos and films using affordable devices. This opens up opportunities for motion capture in various industries, including sports. However, there are challenges in using computer vision-based motion capture for swimming due to the unique nature of aquatic data. Researchers have developed SwimXYZ, an artificial dataset of swimming motions and films, to address this. The dataset includes annotated 2D and 3D joints and offers a variety of body forms and swimming motions. The goal is to make motion capture in swimming more widely used.
Introducing SwimXYZ: A Synthetic Dataset of Swimming Motions and Videos
Human motion capture has become a valuable tool in industries like sports, medical, and entertainment. However, traditional motion capture systems are expensive and time-consuming to set up and maintain. They also face unique challenges when it comes to aquatic activities like swimming.
Fortunately, recent developments have made it possible to capture motion from photos and films using simple, affordable devices. These real-time, single-camera systems have the potential to revolutionize motion capture during sporting events and enhance amateur athletes’ training programs. However, they face obstacles when it comes to swimming due to the need for more data and the differences in aquatic images compared to traditional datasets.
The Solution: SwimXYZ
Researchers have developed SwimXYZ, an artificial dataset specifically designed for motion capture in swimming. It features swimming-specific films annotated with 2D and 3D joints from real swimming pools. SwimXYZ includes a wide variety of camera perspectives, subjects, lighting conditions, and swimming actions. It also offers a range of body forms and swimming motions.
SwimXYZ’s goal is to make motion capture in swimming more widely used. Future studies can use SwimXYZ’s data for training pose and motion priors or swimming stroke classifiers. The dataset can be expanded to include more variety in subjects, locations, and annotations to further enhance its practical applications.
To learn more about SwimXYZ, you can check out the Paper and Project Page.
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