Abstract
In this paper, we address issues in traffic monitoring of urban areas using airborne LiDAR data. Our aim in this paper is to extract individual vehicles from common LiDAR data of urban areas, based on which the dynamical status of vehicles and other traffic-related parameters can be derived. A contextguiding bottom-up processing strategy is developed to accomplish the task. Ground level separation is first used to exclude the irrelevant objects and provide the Region of Interest. The marker-controlled watershed transformation assisted by morphological reconstruction is then performed on the gridded and filled raster of ground level points to delineate the single vehicles. The evaluation of experimental results has shown that most vehicles can be correctly detected, whose delineated contours are accurate.
Original language | English |
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Title of host publication | 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008 |
DOIs | |
Publication status | Published - 1 Dec 2008 |
Externally published | Yes |
Event | 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008 - Tampa, FL, United States Duration: 7 Dec 2008 → 7 Dec 2008 |
Conference
Conference | 2008 IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008 |
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Country/Territory | United States |
City | Tampa, FL |
Period | 7/12/08 → 7/12/08 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering