ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 93-98, 2012
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/93/2012/
doi:10.5194/isprsannals-I-3-93-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
20 Jul 2012
A MARKED POINT PROCESS MODEL FOR VEHICLE DETECTION IN AERIAL LIDAR POINT CLOUDS
A. Börcs and C. Benedek Distributed Events Analysis Research Laboratory, Computer and Automation Research Institute, H-1111, Budapest, Kende utca 13-17
Keywords: LIDAR, aerial laser scanning, vehicle, urban, Marked Point Process Abstract. In this paper we present an automated method for vehicle detection in LiDAR point clouds of crowded urban areas collected from an aerial platform. We assume that the input cloud is unordered, but it contains additional intensity and return number information which are jointly exploited by the proposed solution. Firstly, the 3-D point set is segmented into ground, vehicle, building roof, vegetation and clutter classes. Then the points with the corresponding class labels and intensity values are projected to the ground plane, where the optimal vehicle configuration is described by a Marked Point Process (MPP) model of 2-D rectangles. Finally, the Multiple Birth and Death algorithm is utilized to find the configuration with the highest confidence.
Conference paper (PDF, 1771 KB)


Citation: Börcs, A. and Benedek, C.: A MARKED POINT PROCESS MODEL FOR VEHICLE DETECTION IN AERIAL LIDAR POINT CLOUDS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 93-98, doi:10.5194/isprsannals-I-3-93-2012, 2012.

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