Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Motion capture assisted animation: texturing and synthesis
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
Motion synthesis from annotations
ACM SIGGRAPH 2003 Papers
Segmenting motion capture data into distinct behaviors
GI '04 Proceedings of the 2004 Graphics Interface Conference
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
A system for analyzing and indexing human-motion databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Performance animation from low-dimensional control signals
ACM SIGGRAPH 2005 Papers
An efficient search algorithm for motion data using weighted PCA
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Motion templates for automatic classification and retrieval of motion capture data
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
Active learning for real-time motion controllers
ACM SIGGRAPH 2007 papers
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Information Retrieval for Music and Motion
Information Retrieval for Music and Motion
Gesture modeling and animation based on a probabilistic re-creation of speaker style
ACM Transactions on Graphics (TOG)
An efficient algorithm for keyframe-based motion retrieval in the presence of temporal deformations
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Nonparametric density estimation with adaptive, anisotropic kernels for human motion tracking
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
A Velocity-Curvature Space Approach for Walking Motions Analysis
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Human motion retrieval using topic model
Computer Animation and Virtual Worlds
Retrieval and Visualization of Human Motion Data via Stick Figures
Computer Graphics Forum
Online human gesture recognition from motion data streams
Proceedings of the 21st ACM international conference on Multimedia
Ongoing human action recognition with motion capture
Pattern Recognition
A real-time system for motion retrieval and interpretation
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Online gesture recognition from pose kernel learning and decision forests
Pattern Recognition Letters
| Hi-index | 0.00 |
In view of increasing collections of available 3D motion capture (mocap) data, the task of automatically annotating large sets of unstructured motion data is gaining in importance. In this paper, we present an efficient approach to label mocap data according to a given set of motion categories or classes, each specified by a suitable set of positive example motions. For each class, we derive a motion template that captures the consistent and variable aspects of a motion class in an explicit matrix representation. We then present a novel annotation procedure, where the unknown motion data is segmented and annotated by locally comparing it with the available motion templates. This procedure is supported by an efficient keyframe-based preprocessing step, which also significantly improves the annotation quality by eliminating false positive matches. As a further contribution, we introduce a genetic learning algorithm to automatically learn the necessary keyframes from the given example motions. For evaluation, we report on various experiments conducted on two freely available sets of motion capture data (CMU and HDM05).