id: 05979466
dt: a
an: 05979466
au: Maier, Josef; Ambrosch, Kristian
ti: Distortion compensation for movement detection based on dense optical flow.
so: Bebis, George (ed.) et al., Advances in visual computing. 7th international
    symposium, ISVC 2011, Las Vegas, NV, USA, September 26‒28, 2011.
    Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-24027-0/pbk).
    Lecture Notes in Computer Science 6938, 168-179 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-24028-7_16
ab: Summary: This paper presents a method for detecting moving objects in two
    temporal succeeding images by calculating the fundamental matrix and
    the radial distortion and therefore, the distances from points to
    epipolar lines. In static scenes, these distances are a result of noise
    and/or the inaccuracy of the computed epipolar geometry and lens
    distortion. Hence, we are using these distances by applying an adaptive
    threshold to detect moving objects using views of a camera mounted on a
    Micro Unmanned Aerial Vehicle (UAV). Our approach uses a dense optical
    flow calculation and estimates the epipolar geometry and radial
    distortion. In addition, a dedicated approach of selecting point
    correspondences that suits dense optical flow computations and an
    optimization-algorithm that corrects the radial distortion parameter
    are introduced. Furthermore, the results on distorted ground truth
    datasets show a good accuracy which is outlined by the presentation of
    the performance on real-world scenes captured by an UAV.
rv: