Thermal Signature Using Non-Redundant Temporal Local Binary-Based Features

被引：0
|
作者：
Al Alwani, Adnan [1 ]
Chahir, Youssef [1 ]
Jouen, Francois [2 ]
机构：
[1] Univ Caen Basse Normandie, GREYC CNRS UMR 6072, Caen, France
[2] Pract Sch High Stud EPHE, CHArt Lab, Paris, France
来源：
IMAGE ANALYSIS AND RECOGNITION, ICIAR 2014, PT II | 2014年 / 8815卷
关键词：
Events recognition; Non-redundant temporal local binary pattern; Thermal signature; Support vector machine; Wavelet;
D O I：
10.1007/978-3-319-11755-3_17
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a method for event recognition from thermal signature based 1-D signal. We use the non-redundant temporal Local Binary Pattern NRTLBP as a descriptor of the Pattern Of Interest (POI) signal. The original signal is extracted directly from local patch in region of interest. We introduce the wavelet decomposition as a pre-processing stage in order to extract the approximation wave-components of the raw signal. Then, NRTLBP is applied on the wave-components which provide wavelet domain descriptor of the raw thermal signature. Finally, we provide an evaluation of our method on the real dataset (Preterm Pain in Infants "PPI") composed of thermal videos developed in the context of Infant pain project, a french project supported by the French National Research Agency Projects for science (ANR).
引用
收藏
页码：151 / 158
页数：8
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