Volume I-3
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 347-352, 2012
https://doi.org/10.5194/isprsannals-I-3-347-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., I-3, 347-352, 2012
https://doi.org/10.5194/isprsannals-I-3-347-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Jul 2012

23 Jul 2012

A NOVEL OBJECT OF INTEREST EXTRACTION METHOD FOR MOBILE MAPPING SYSTEMS

P. Li2,1, C. Wang2, Y. Yi2, H. Wang2,1, M. Cheng2, L. Luo3, and Y. Liu4 P. Li et al.
  • 1School of Electronic Engineering and Science, National University of Defense Technology, 410073, Changsha, China
  • 2School of Information Science and Technology, Xiamen University, 361005, Xiamen, China
  • 3China Transport Telecommunication & information Center, Beijing, China
  • 4Hunan Provincial Transport Technical Information Center, Changsha, China

Keywords: Mobile , Mapping, GIS, object, Extraction, Tracking, Segmentation

Abstract. In this paper, we present a novel object of interest (OOI) extraction scheme that can work robustly for digital measurable image (DMI) sequences collected by mobile mapping systems (MMS). The proposed method integrates tracking and segmentation in a unified framework. We incorporate a new object-shaped kernel with the scale invariant mean shift algorithm to track the OOI through the DMI sequence and thus keep the temporal consistency. The well-known GrabCut approach for static 2D image segmentation is generalized to the DMI sequence for OOI segmentation. Experimental results on real DMI sequence collected by VISATTM MMS demonstrate that the proposed approach is robust to the challenges such as low frame rate, large inter-frame displacement of the OOI and background clutter.