by Klappstein, J, Vaudrey, T, Rabe, C, Wedel, A and Klette, R
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. © 2009 Springer Berlin Heidelberg.
Reference:
Moving object segmentation using optical flow and depth information (Klappstein, J, Vaudrey, T, Rabe, C, Wedel, A and Klette, R), In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 5414 LNCS, 2009.
Bibtex Entry:
@inproceedings{klappstein2009movinginformation,
author = "Klappstein, J and Vaudrey, T and Rabe, C and Wedel, A and Klette, R",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "611--623",
title = "Moving object segmentation using optical flow and depth information",
volume = "5414 LNCS",
year = "2009",
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. © 2009 Springer Berlin Heidelberg.",
doi = "10.1007/978-3-540-92957-4_53",
issn = "0302-9743",
eissn = "1611-3349",
keyword = "Motion detection",
keyword = "Optical flow",
keyword = "Segmentation",
keyword = "Stereo",
language = "eng",
}