Leatherbacks matching by automated image recognition

被引：0
|
作者：
Pauwels, Eric J. [1 ]
de Zeeuw, Paul M. [1 ]
Bounantony, Danielle M. [2 ]
机构：
[1] Ctr Wiskunde & Informat, Amsterdam, Netherlands
[2] Duke Univ, Nicholas Sch Environm & Earth Sci, Durham, NC 27706 USA
来源：
ADVANCES IN DATA MINING, PROCEEDINGS: MEDICAL APPLICATIONS, E-COMMERCE, MARKETING, AND THEORETICAL ASPECTS | 2008年 / 5077卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We describe a method that performs automated recognition of individual laetherback turtles within a large nesting population. With only minimal preprocessing required of the user, we prove able to produce unsupervised matching results. The matching is based on the Scale-Invariant Feature Transform by Lowe. A strict condition posed by biologists reads that matches should not be missed (no false negatives). A robust criterion is defined to meet this requirement. Results are reported for a considerable sample of leatherbacks.
引用
收藏
页码：417 / +
页数：2
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