Object Extraction in Urban Environments from Large-Scale Dynamic Point Cloud Datasets

Börcs, Attila and Józsa, Oszkár and Benedek, Csaba (2013) Object Extraction in Urban Environments from Large-Scale Dynamic Point Cloud Datasets. In: 11th International Workshop on Content-Based Multimedia Indexing. CBMI 2013, 2013-06-17 - 2013-06-19, Veszprém, Magyarország.

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Abstract

In this paper, we introduce a system framework which can automatically interpret large point cloud datasets collected from dense urban areas by moving aerial or terrestrial Lidar platforms. We propose novel algorithms for region segmentation, motion analysis, object identification and population level scene analysis which steps can highly contribute to organize the data into a semantically indexed structure, enabling quick responses for content based user queries about the environment. The system is tested on real Lidar data, and for demonstration quantitative evaluation is given on vehicle detection.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Distributed Events Analysis Research Laboratory
Depositing User: EPrints Admin
Date Deposited: 21 Jun 2013 08:07
Last Modified: 07 Feb 2014 10:22
URI: http://eprints.sztaki.hu/id/eprint/7177

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