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W188 N11927 Maple Rd. • 262-229-5443 Welcome to our main school! The Germantown location was opened in January of 2013 and has evolved into an incredible program for a growing student base. The school now teaches TaeKwonDo, Yoga and Circuit Training (P.U.L.S.E.). Our kids program teaches kids of all skills and abilities. Younger kids are encouraged to learn structure, discipline and most importantly boundaries.
Older and more experienced kids will further develop strengths and overcome weaknesses. We will push kids to explore their limits but remain mindful that not everyone is created equal, each student has unique strengths and it’s at this point we try to bring these out. Of course we practice techniques, but without establishing these virtues, it’s difficult to create and foster a positive learning environment.
We are, after all, setting the groundwork, not only for future martial arts classes, but for other areas of their lives. Adult classes are designed for physically and emotionally mature individuals who are ready to learn both basic and advanced techniques. We will work on both basic and advanced techniques, we sometime work together or apart depending on class make up. This is a great environment to foster relationships and work one on one to improve your skill set, we are a community where camaraderie flourishes and friendships are formed.
Classes held at our main Germantown school: W188 N11927 Maple Rd., Germantown262-229-5443 Instructors: Corey Becker, Sheri Sanabria and Ron Trabeau Germantown Class Schedule:
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Human pose estimation is one of the most popular research topics in the past two decades, especially with the introduction of human pose datasets for benchmark evaluation. These datasets usually capture simple daily life actions. Here, we introduce a new dataset, the Martial Arts, Dancing and Sports (MADS), which consists of challenging martial arts actions (Tai-chi and Karate), dancing actions (hip-hop and jazz), and sports actions (basketball, volleyball, football, rugby, tennis and badminton).
Two martial art masters, two dancers and an athlete performed these actions while being recorded with either multiple cameras or a stereo depth camera. In the multi-view or single-view setting, we provide three color views for 2D image-based human pose estimation algorithms. For depth-based human pose estimation, we provide stereo-based depth images from a single view. All videos have corresponding synchronized and calibrated ground-truth poses, which were captured using a Motion Capture system.
We provide initial baseline results on our dataset using a variety of tracking frameworks, including a generative tracker based on the annealing particle filter and robust likelihood function, a discriminative tracker using twin Gaussian processes , and hybrid trackers, such as Personalized Depth Tracker . The results of our evaluation suggest that discriminative approaches perform better than generative approaches when there are enough representative training samples, and that the generative methods are more robust to diversity of poses, but can fail to track when the motion is too quick for the effective search range of the particle filter.
The data and the accompanying code will be made available to the research community.
Title: L*******s Martial Arts