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Human Motion Capture with Sparse Inertial Sensors and Video

Publikation: Qualifikations-/Studienabschlussarbeit › Dissertation

Autorschaft

  • Timo von Marcard

Organisationseinheiten

Details

OriginalspracheDeutsch
QualifikationDoktor der Ingenieurwissenschaften
Gradverleihende Hochschule
Betreut von
Datum der Verleihung des Grades16 Okt. 2019
ErscheinungsortHannover
PublikationsstatusVeröffentlicht - 2019

Abstract

This thesis explores approaches to capture human motions with a small number of sensors. In the first part of this thesis an approach is presented that reconstructs the body pose from only six inertial sensors. Instead of relying on pre-recorded motion databases, a global optimization problem is solved to maximize the consistency of measurements and model over an entire recording sequence. The second part of this thesis deals with a hybrid approach to fuse visual information from a single hand-held camera with inertial sensor data. First, a discrete optimization problem is solved to automatically associate people detections in the video with inertial sensor data. Then, a global optimization problem is formulated to combine visual and inertial information. The propose approach enables capturing of multiple interacting people and works even if many more people are visible in the camera image. In addition, systematic inertial sensor errors can be compensated, leading to a substantial in

Schlagwörter

    Sparse Sensors, Modelbased Optimization, video, Inertial Sensors, Non-static Camera, Human Pose Estimation

Zitieren

Human Motion Capture with Sparse Inertial Sensors and Video. / von Marcard, Timo.
Hannover, 2019. 124 S.

Publikation: Qualifikations-/Studienabschlussarbeit › Dissertation

von Marcard, T 2019, 'Human Motion Capture with Sparse Inertial Sensors and Video', Doktor der Ingenieurwissenschaften, Gottfried Wilhelm Leibniz Universität Hannover, Hannover.
von Marcard, T. (2019). Human Motion Capture with Sparse Inertial Sensors and Video. [Dissertation, Gottfried Wilhelm Leibniz Universität Hannover].
von Marcard T. Human Motion Capture with Sparse Inertial Sensors and Video. Hannover, 2019. 124 S.
von Marcard, Timo. / Human Motion Capture with Sparse Inertial Sensors and Video. Hannover, 2019. 124 S.
Download
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