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Treball de fi de grau

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memòria: cc-by-sa (c) Marc Girones Dezsènyi, 2015
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/96133

Motion capture with Kinect

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Motion capture, motion tracking or mocap are the terms used to describe the process of recording movement and translating that movement onto a digital model, it is used in military, entertainment, sports, and medical application. In film making it refers to recording actions of human actors, and using that information to animate digital character models in 3D animation. Unfortunately, most motion capture systems on today's market are prohibitively expensive for educational institutions and small businesses. My goal is to develop a relatively low-cost competitive motion capture system. So in this research I’m looking for the answer how can create an optical mocap player with a single camera. Current motion capture methods use passive markers that are attached to different body parts of the subject and are therefore intrusive in nature. In applications such as pathological human movement analysis, these markers may introduce an unknown artifact in the motion, and are, in general, cumbersome. So the other key challenge is to produce a system that allows marker-less real-time tracking or near the real time. My ultimate objective is to build a visual system that can integrate the above mentioned components, wherewith can display the user’s movement into an avatar in the virtual space. Finally, I will propose a validation system to validate the user movements. I will evaluate the different postures or complete movements. Moreover, I want to go future and show the result in different ways, such as different viewing angles, different meshes or mesh with illumination.

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Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2013, Director: Oriol Pujol Vila

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GIRONES DEZSÈNYI, Marc. Motion capture with Kinect. [consulta: 24 de gener de 2026]. [Disponible a: https://hdl.handle.net/2445/96133]

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