Image matching based on co-motion statistics

Zoltan Szlavik, Laszlo Havasi, T. Szirányi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper presents a method for matching partially overlapping image-pairs where the object of interest is in motion, even if the motion is discontinuous and in an unstructured environment. In a typical outdoor multi-camera surveillance system, an observed object as seen by separate cameras may appear very different, due to the variable influence of factors such as lighting conditions and camera angles. Thus static features such as object color, shape, and contours cannot be used for image matching. In this paper a different method is proposed for matching partially overlapping images captured by such cameras. The matching is achieved by calculation of comotion statistics, followed by detection and rejection of points outside the overlap area and a nonlinear optimization process. The robust algorithm we describe finds point correspondences in two images without searching for any structures and without the need for tracking continuous motion. Trials using statistical motion-based image cross-registration, a robust rejection algorithm, and automatic 3D image-transformation and camera calibration on real-life outdoor images have demonstrated the feasibility of this approach.

Original languageEnglish
Title of host publicationProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
EditorsY. Aloimonos, G. Taubin
Pages584-591
Number of pages8
DOIs
Publication statusPublished - 2004
EventProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 - Thessaloniki, Greece
Duration: Sep 6 2004Sep 9 2004

Other

OtherProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
CountryGreece
CityThessaloniki
Period9/6/049/9/04

Fingerprint

Image matching
Cameras
Statistics
Lighting
Calibration
Color

Keywords

  • Camera calibration
  • Co-motion statistics
  • Image matching

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Szlavik, Z., Havasi, L., & Szirányi, T. (2004). Image matching based on co-motion statistics. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 (pp. 584-591) https://doi.org/10.1109/TDPVT.2004.1335292

Image matching based on co-motion statistics. / Szlavik, Zoltan; Havasi, Laszlo; Szirányi, T.

Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. ed. / Y. Aloimonos; G. Taubin. 2004. p. 584-591.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Szlavik, Z, Havasi, L & Szirányi, T 2004, Image matching based on co-motion statistics. in Y Aloimonos & G Taubin (eds), Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. pp. 584-591, Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004, Thessaloniki, Greece, 9/6/04. https://doi.org/10.1109/TDPVT.2004.1335292
Szlavik Z, Havasi L, Szirányi T. Image matching based on co-motion statistics. In Aloimonos Y, Taubin G, editors, Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. 2004. p. 584-591 https://doi.org/10.1109/TDPVT.2004.1335292
Szlavik, Zoltan ; Havasi, Laszlo ; Szirányi, T. / Image matching based on co-motion statistics. Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. editor / Y. Aloimonos ; G. Taubin. 2004. pp. 584-591
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