SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Animating rotation with quaternion curves
SIGGRAPH '85 Proceedings of the 12th annual conference on Computer graphics and interactive techniques
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
A Mathematical Introduction to Robotic Manipulation
A Mathematical Introduction to Robotic Manipulation
Smooth motion of a rigid body in 2D and 3D
IV '97 Proceedings of the IEEE Conference on Information Visualisation
Twist Based Acquisition and Tracking of Animal and Human Kinematics
International Journal of Computer Vision
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
International Journal of Computer Vision
POSECUT: simultaneous segmentation and 3D pose estimation of humans using dynamic graph-cuts
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
IEEE Transactions on Image Processing
Augmenting hand animation with three-dimensional secondary motion
Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Three-dimensional proxies for hand-drawn characters
ACM Transactions on Graphics (TOG)
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Tracking 3D objects from 2D image data often leads to jittery tracking results. In general, unsmooth motion is a sign of tracking errors, which, in the worst case, can cause the tracker to loose the tracked object. A straightforward remedy is to demand temporal consistency and to smooth the result. This is often done in form of a post-processing. In this paper, we present an approach for online smoothing in the scope of 3D human motion tracking. To this end, we extend an energy functional by a term that penalizes deviations from smoothness. It is shown experimentally that such online smoothing on pose parameters and joint angles leads to improved results and can even succeed in cases, where tracking without temporal consistency assumptions fails completely.