Layered time series model for gait recognition
نویسندگان
چکیده
A new gait recognition algorithm, the layered time series model (LTSM), is proposed. LTSM is a two-level model which combines the dynamic texture model (DTM) and the hidden Markov model (HMM). A gait cycle is divided into several temporally adjacent clusters and gait features of each cluster are modelled by the DTM. The HMM is built to describe the relationship among the DTMs, which are regarded as hidden states. Experiment results show that the proposed model outperforms other approaches in terms of recognition accuracy.
منابع مشابه
Gait recognition based on improved dynamic Bayesian networks
In this paper, we proposed an improved two-level dynamic Bayesian network layered time series model (LTSM), which aims to solve the limitations hindering the application of available dynamic Bayesian networks, the hidden Markov model (HMM) and the dynamic texture (DT) model to gait recognition. In the first level, a gait silhouette or feature cycle is divided into several temporally adjacent cl...
متن کاملApplication of Hybrid Cells in Series Model in the Pollution Transport through Layered Material
The present paper aims at investigating the applicability of hybrid cells in the series model for pollution transport inside the layered porous media. For this purpose, four layers of rock material have fallen inside the experimental flume, with eight sensors installed longitudinally inside the media to obtain experimental BTCs. In order to measure time parameters of the model, named , two diff...
متن کاملApplication of Hybrid Cells in Series Model in the Pollution Transport through Layered Material
The present paper aims at investigating the applicability of hybrid cells in the series model for pollution transport inside the layered porous media. For this purpose, four layers of rock material have fallen inside the experimental flume, with eight sensors installed longitudinally inside the media to obtain experimental BTCs. In order to measure time parameters of the model, named , two diff...
متن کاملA Full-Body Layered Deformable Model for Automatic Model-Based Gait Recognition
This paper proposes a full-body layered deformable model (LDM) inspired by manually labeled silhouettes for automatic model-based gait recognition from part-level gait dynamics in monocular video sequences. The LDM is defined for the fronto-parallel gait with 22 parameters describing the human body part shapes (widths and lengths) and dynamics (positions and orientations). There are four layers...
متن کاملAnalytical D’Alembert Series Solution for Multi-Layered One-Dimensional Elastic Wave Propagation with the Use of General Dirichlet Series
A general initial-boundary value problem of one-dimensional transient wave propagation in a multi-layered elastic medium due to arbitrary boundary or interface excitations (either prescribed tractions or displacements) is considered. Laplace transformation technique is utilised and the Laplace transform inversion is facilitated via an unconventional method, where the expansion of complex-valued...
متن کامل