In this paper a robust method for visual motion estimation under ego{motion is developed. The possible application of this method is image sequence analysis of road tra c or airport runway/taxiway scenes, where the camera is located in a moving vehicle. The method combines an application independent estimation of visual motion with speci c methods for instantaneous detection of the vanishing po...

This paper deals with the problem of obstacle detection in traffic applications. The proposed device allows a diver to receive the current road and vehicle environment information. The environment perception is performed through a fast processing of image sequence acquired from a vision system embedded in a vehicle. The approach is based on frame motion analysis. Firstly, the road motion is com...

This paper presents an image deblurring algorithm to remove motion blur using analysis of motion trajectories and local statistics based on inertial sensors. The proposed method estimates a point-spread-function (PSF) of motion blur by accumulating reweighted projections of the trajectory. A motion blurred image is then adaptively restored using the estimated PSF and spatially varying activity ...

Object oriented representation of image sequences requires accurate motion segmentation and depth ordering techniques. Unfortunately, the lack of precise motion estimates at the object boundaries makes these two tasks very difficult. In this paper we present a detailed analysis of the behaviour of dense motion estimation techniques at object boundaries which reveals the systematic nature of the...

Image-based identification of cultured stem cells and noninvasive evaluation of their proliferative capacity advance cell therapy and stem cell research. Here we demonstrate that human keratinocyte stem cells can be identified in situ by analyzing cell motion during their cultivation. Modeling experiments suggested that the clonal type of cultured human clonogenic keratinocytes can be efficient...

The spatial resolution of a hyperspectral image is often coarse because of the limitations of the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement. This paper proposes a maximum a posteriori (MAP) based multi-frame super-resolution algorithm for hyperspectral images. Principal component analysi...

This paper deals with several aspects towards amore objective performance analysis of low-level motion analysis. A generalized spatiotemporal filter formulation and motion modeling in image sequences is introduced and used to design optimal motion estimators and to perform analytic studies.

piezoelectric microcantilevers (mcs) are a new generation of microbeams used in atomic force microscopes (afms). due to their miniaturization of afms as well as their increased imaging precision and speed, these mcs are more popular than their classical counterparts. given the widespread application of these beams in nanoparticle topography, analysis of their vibrating motion has attracted much...

Dynamic texture refers to image sequences of non-rigid objects that exhibit some regularity in their movement. Videos of smoke, fire etc. fall under the category of dynamic texture. Researchers have investigated different ways to analyze dynamic textures since early nineties. Both appearance based (image intensities) and motion based approaches are investigated. Motion based approaches turn out...