Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In this paper we propose a 2D Iterated Closest Point (ICP) registration method, based on the distance transform, combined with a fine-tuning-registration step using directly the image data. Experiments with real data show t...

person tracking, plan-view statistics, stereo depth images, adaptive template, Kalman filter As the cost of computing per-pixel depth imagery from stereo cameras in real time has fallen rapidly in recent years, interest in using stereo vision for person tracking has greatly increased. Methods that attempt to track people directly in these "camera-view" depth images are confronted by their subst...

Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for stereo sequences that improves the reliability and sensitivity of segmentation in the presence of object clutter. The dynamic version of the method, called gated background adaptation, can reliably learn background sta...

In this paper, we use coronal and heliospheric images from the Solar Terrestrial Relations Observatory (STEREO) spacecraft to track streamer blobs into the heliosphere and to observe them being swept up and compressed by the fast wind from low-latitude coronal holes. From an analysis of their elongation/time tracks, we discover a “locus of enhanced visibility” where neighboring blobs pass each ...

The combination of subtraction stereo with shadow detection we propose improves people tracking in stereoscopic environments. Subtraction stereo is a stereo matching method which is fast and robust for the correspondence problem – one of the most serious issues in computer vision – restricting the search range of matching to foreground regions. Shadow detection gives adequate foreground regions...

Mapping of the Earth’s surface from satellite images is a continuing application in remote sensing, which has been distinctly pushed with the increasing availability of very high-resolution image data. In most of the missions, stereo images can be acquired making 3D mapping from space very attractive, as high accuracy and level of detail become feasible from such data. In this paper, several ca...

In this paper we present an approach to track a moving body in a sequence of camera images by model adaptation. The parameters of a stick figure model are varied by using a stochastic search algorithm. The similarity of rendered model images and camera images of the user are used as quality measure. A refinement of the algorithm is introduced by using combined stereo views and relevance maps to...

One of the trends in computer vision is development of systems using multiple vision sensors. Especially, use of multiple omnidirectional vision sensors (ODVSs) opens up a new application area of computer vision with their wide range of view. As an application of such vision systems, we propose a real-time human tracking system using multiple ODVSs. The system measures people's locations by N-o...

A different perspective to head tracking, one of the more studied topics in computer vision is presented here. The heavy reliance of contemporary head trackers on intensity images is countered here. The algorithm presented here, uses stereo data to track the head of a moving subject. This is used to achieve effective and accurate foreground segmentation. The head is modeled as an ellipse and tr...