Alignment Based Extraction of Isolated Signs from Sign Language Videos

被引：0

作者：

Santemiz, Pinar ^{[1
]}

Aran, Oya ^{[1
]}

Saraclar, Murat ^{[2
]}

Akarun, Lale ^{[1
]}

机构：

[1] Bogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, Turkey

[2] Bogazici Univ, Elekt Elekt Muhendisligi Bolumu, TR-80815 Bebek, Turkey

来源：

2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2 | 2009年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a method to extract isolated signs from continuous sign language videos. We use sequences that approximately contain the sign that we are interested in and align the sequences to find the exact start and end frames. We compare different feature extraction methods, different alignment methods, and assess the performance of our system on a database front Turkish sign language.

引用

页码：758 / +

页数：2

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