A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Derivation of Primitives for Movement Classification
Autonomous Robots
A Survey of Elastic Matching Techniques for Handwritten Character Recognition
IEICE - Transactions on Information and Systems
Detecting repeated motion patterns via dynamic programming using motion density
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Detecting frequent patterns in video using partly locality sensitive hashing
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
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A logical dynamic programming (DP) matching algorithm is proposed for extracting similar subpatterns from two sequential patterns. In the proposed algorithm, local similarity between two patterns is measured by a logical function, called support. The DP matching with the support can extract all similar subpatterns simultaneously while compensating nonlinear fluctuation. The performance of the proposed algorithm was evaluated qualitatively and quantitatively via an experiment of extracting motion primitives, i.e., common subpatterns in gesture patterns of different classes.