Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 239-246, 2014
https://doi.org/10.5194/isprsarchives-XL-3-239-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
11 Aug 2014
User-assisted Object Detection by Segment Based Similarity Measures in Mobile Laser Scanner Data
S. Oude Elberink and B. Kemboi Faculty of Geo-Information Science and Earth Observation, University of Twente, the Netherlands
Keywords: Segmentation, Object Detection, Semi-Automatic, Mobile Mapping Systems, Segment based Classification Abstract. This paper describes a method that aims to find all instances of a certain object in Mobile Laser Scanner (MLS) data. In a userassisted approach, a sample segment of an object is selected, and all similar objects are to be found. By selecting samples from multiple classes, a classification can be performed. Key assumption in this approach is that a one-to-one relationship exists between segments and objects. In this paper the focus is twofold: (1) to explain how to get proper segments, and (2) to describe how to find similar objects. Point attributes that help separating neighbouring objects are presented. These point attributes are used in an attributed connected component algorithm where segments are grown, based on proximity and attribute values. Per component, a feature vector is proposed that consists of two parts. The first is a height histogram, containing information on the height distribution of points within a component. The second contains size and shape information, based on the components’ bounding box. A simple correlation function is used to find similarities between samples, as selected by a user, and other components. Our approach is tested on a MLS dataset, containing over 300 objects in 13 classes. Detection accuracies heavily depend on the success of the segmentation, and the number of selected samples in combination with the variety of object types in the scene.
Conference paper (PDF, 991 KB)


Citation: Oude Elberink, S. and Kemboi, B.: User-assisted Object Detection by Segment Based Similarity Measures in Mobile Laser Scanner Data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-3, 239-246, https://doi.org/10.5194/isprsarchives-XL-3-239-2014, 2014.

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