Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification

Tim Dittmar, Claudia Krull, Graham Horton

2017

Abstract

This paper presents further research on an implemented classification and verification system that employs a novel approach for stochastically modelling movement trajectories. The models are based on Conversive Hidden non-Markovian Models that are especially suited to mimic temporal dynamics of time series as in contrast to the relative Hidden Markov Models(HMM) and the dynamic time warping(DTW) method, timestamp information of data are an integral part. The system is able to create trajectory models from examples and is tested on signatures, doodles and pseudo-signatures for its verification performance. By using publicly available databases comparisons are made to evaluate the potential of the system. The results reveal that the system already performs similar to a general DTW approach on doodles and pseudo-signatures but does not reach the performance of specialized HMM systems for signatures. But further possibilities to improve the results are discussed.

Paper Citation

in Harvard Style

Dittmar T., Krull C. and Horton G. (2017). Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 249-258. DOI: 10.5220/0006212502490258

in Bibtex Style

@conference{icpram17,
author={Tim Dittmar and Claudia Krull and Graham Horton},
title={Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={249-258},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006212502490258},
isbn={978-989-758-222-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Evaluating a New Conversive Hidden non-Markovian Model Approach for Online Movement Trajectory Verification
SN - 978-989-758-222-6
AU - Dittmar T.
AU - Krull C.
AU - Horton G.
PY - 2017
SP - 249
EP - 258
DO - 10.5220/0006212502490258