Moving Object Segmentation Using Optical Flow and Depth Information


== Abstract ==

This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision. In both cases, object detection is based on motion analysis of individually tracked image points (optical flow), providing a motion metric which corresponds to the likelihood that the tracked point is moving. Based on this metric, points are segmented into objects by employing a globally optimal graph-cut algorithm. Both approaches are comparatively evaluated using real-world vehicle image sequences.


== Original document ==

The different versions of the original document can be found in:

* [https://link.springer.com/content/pdf/10.1007%2F978-3-540-92957-4_53.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-92957-4_53.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-540-92957-4_53 http://link.springer.com/content/pdf/10.1007/978-3-540-92957-4_53],
: [http://dx.doi.org/10.1007/978-3-540-92957-4_53 http://dx.doi.org/10.1007/978-3-540-92957-4_53] under the license http://www.springer.com/tdm

* [https://link.springer.com/chapter/10.1007/978-3-540-92957-4_53 https://link.springer.com/chapter/10.1007/978-3-540-92957-4_53],
: [https://researchspace.auckland.ac.nz/handle/2292/3263 https://researchspace.auckland.ac.nz/handle/2292/3263],
: [https://dblp.uni-trier.de/db/conf/psivt/psivt2009.html#KlappsteinVRWK09 https://dblp.uni-trier.de/db/conf/psivt/psivt2009.html#KlappsteinVRWK09],
: [https://link.springer.com/content/pdf/10.1007%2F978-3-540-92957-4_53.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-540-92957-4_53.pdf],
: [https://www.scipedia.com/public/Klappstein_et_al_2009a https://www.scipedia.com/public/Klappstein_et_al_2009a],
: [http://dx.doi.org/10.1007/978-3-540-92957-4_53 http://dx.doi.org/10.1007/978-3-540-92957-4_53],
: [https://doi.org/10.1007/978-3-540-92957-4_53 https://doi.org/10.1007/978-3-540-92957-4_53],
: [https://researchspace.auckland.ac.nz/bitstream/2292/3263/2/MItech-TR-22.pdf https://researchspace.auckland.ac.nz/bitstream/2292/3263/2/MItech-TR-22.pdf],
: [https://academic.microsoft.com/#/detail/1690959182 https://academic.microsoft.com/#/detail/1690959182]