Detecting Human Patterns in Laser Range Data

被引：2

作者：

Varvadoukas, Theodoros ^{[1
]}

Giotis, Ioannis ^{[2
]}

Konstantopoulos, Stasinos ^{[1
]}

机构：

[1] NCSR Demokritos, Inst Informat & Telecommun, Athens, Greece

[2] Univ Groningen, Johann Bernoulli Inst Math & Comp Sci, NL-9700 AB Groningen, Netherlands

来源：

20TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2012) | 2012年 / 242卷

关键词：

D O I：

10.3233/978-1-61499-098-7-804

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 present a novel method for detecting humans from laser range scans, where the core idea is to treat neither individual frames, which hold so little information that the task is impossible, nor motion patterns, as is the case with tracking methods. Rather, we map short time series of planar scans to 3D objects with time as the depth dimension; we then cluster and classify these 3D objects using unsupervised and off-line training, circumventing the need for predefining and parametrizing motion models.

引用

页码：804 / +

页数：2

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