Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Fast subsequence matching in time-series databases
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Morphable Models for the Analysis and Synthesis of Complex Motion Patterns
International Journal of Computer Vision - special issue on learning and vision at the center for biological and computational learning, Massachusetts Institute of Technology
Locally adaptive dimensionality reduction for indexing large time series databases
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Interactive control of avatars animated with human motion data
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Efficient Retrieval of Similar Time Sequences Under Time Warping
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
An Index-Based Approach for Similarity Search Supporting Time Warping in Large Sequence Databases
Proceedings of the 17th International Conference on Data Engineering
On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration
Data Mining and Knowledge Discovery
Indexing spatio-temporal trajectories with Chebyshev polynomials
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Exact indexing of dynamic time warping
Knowledge and Information Systems
Robust and fast similarity search for moving object trajectories
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
3D trajectory matching by pose normalization
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Experiencing SAX: a novel symbolic representation of time series
Data Mining and Knowledge Discovery
Exact indexing of dynamic time warping
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Indexing large human-motion databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
On the marriage of Lp-norms and edit distance
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Indexable PLA for efficient similarity search
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Proceedings of the VLDB Endowment
Content-based retrieval for human motion data
Journal of Visual Communication and Image Representation
An efficient keyframe extraction from motion capture data
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
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In this paper, we present a novel and efficient approach to retrieve human motion capture data as used in data-driven computer games, animated movies and special effects in the aim of finding a specific motion. From the kinematic chain model, the human motion capture data is transformed to a spatial-temporal invariance representation called the motion feature representation, in which each segment of kinematic chain model is represented by an angle between itself and the root segment. We treat the human motion as a cluster of curves of angle. In the aim of finding a human motion capture data in a very large database, we propose a novel lower bounding distance called LB-Keogh_Lowe to speed up similarity search. In order to reduce the computational cost, we employ techniques to simplify the curves length of both the envelopes curves and the query data. The similarity between two human motions is measured by applying the constrained Dynamic Time Warping. We carry out an experimental analysis with various real motion capture dataset. The results demonstrate the efficiency of our approach in the context of the human motion capture data and the potentiality to apply it in others contexts of the time-series data retrieval.