@inproceedings{Gall-et-al_DAGM08,
TITLE = {Model-based Motion Capture for Crash Test Video Analysis},
AUTHOR = {Gall, J{\"u}rgen and Rosenhahn, Bodo and Gehrig, Stefan and Seidel, Hans-Peter},
LANGUAGE = {eng},
ISBN = {978-3-540-69320-8},
URL = {http://www.mpi-inf.mpg.de/~jgall/download/jgall_crash_dagm08.pdf},
DOI = {10.1007/978-3-540-69321-5_10},
LOCALID = {Local-ID: C125756E0038A185-056686D45C3BF4B4C1257554004F1C84-Gall2008b},
PUBLISHER = {Springer},
YEAR = {2008},
DATE = {2008},
ABSTRACT = {In this work, we propose a model-based approach for estimating the 3D position <br>and orientation of a dummy's head for crash test video analysis. Instead of <br>relying on photogrammetric markers which provide only sparse 3D measurements, <br>features present in the texture of the object's surface are used for tracking. <br>In order to handle also small and partially occluded objects, the concepts of <br>region-based and patch-based matching are combined for pose estimation. For a <br>qualitative and quantitative evaluation, the proposed method is applied to two <br>multi-view crash test videos captured by high-speed cameras.},
BOOKTITLE = {Pattern Recognition},
EDITOR = {Rigoll, Gerhard},
PAGES = {92--101},
SERIES = {Lecture Notes in Computer Science},
VOLUME = {5096},
ADDRESS = {Munich, Germany},
}