Detection of Object Carried Using Spatio-temporal Pattern and Local Directional Pattern Descriptor

DOI

10.2991/lemcs-15.2015.318How to use a DOI?

Keywords

Carrying object detection; Silhouette; The width imag; Spatio-temporal analysis; Local texture pattern descriptor

Abstract

A novel method of carried object detection based on silhouette width and spatio-temporal analysis is proposed in this paper. The width vector of silhouette is calculated to characterize the spatial feature and the width image is adopted to preserve the temporal features. The width image which is considered as the texture image represents the walking sequence of pedestrian in a grey-level image. For analyzing the texture features, the local directional pattern code is used to encode the local properties and the local texture pattern descriptor is applied to capture the global characters. Chi-square distance equation is exploited to measure the difference between descriptors. Experimental results show that the width image is an effective and efficient representation, the local directional pattern descriptor is robust and insensitive to noise, and our method is effective.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Han Su
AU  - Wenjie Wang
PY  - 2015/07
DA  - 2015/07
TI  - Detection of Object Carried Using Spatio-temporal Pattern and Local Directional Pattern Descriptor
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 1598
EP  - 1603
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.318
DO  - 10.2991/lemcs-15.2015.318
ID  - Su2015/07
ER  -