Digitally, panoramic pictures can be assembled from several individual, overlapping photographs. While the geometric alignment of these photographs has retained a lot of attention from the computer vision community, the mapping of colour, i.e. the correction of colour mismatches, has not been studied extensively. In this article, we analyze the colour rendering of today’s digital photographic s...

Image recognition and tracking system is the function of the surveillance cameras and camera tracking automatic tracking / shooting. The function of binocular vision includes dual CMOS synchronous motion control, dual channel video acquisition, feature extraction, image matching, object location, depth calculation. AVI video stream directly is processed by image stabilization algorithm, the ima...

This paper describes a PC-based vision system that can be used to detect moving objects from a mobile robot. An image processing board equipped with an MPEG motion estimation processor calculates a sparse but robust optic flow in real-time. An algorithm to evaluate this kind of optic flow has been realized in software. It determines relevant motion parameters and a simple scene interpretation i...

IN VISION, AS IN OTHER mental operations, we experience the world as a whole. Independent attributes—motion, depth, form, and color—are coordinated into a single visual image. In the two previous chapters we began to consider how two parallel pathways—the magnocellular and parvocellular pathways, that extend from the retina through the lateral geniculate nucleus of the thalamus to the primary v...

This paper describes a vision-based relative motion estimator in the formation flight of two unmanned aerial vehicles (UAV’s). The navigation of a follower aircraft relative to a target (or leader) aircraft is performed by vision-only information from a single camera fixed to the follower aircraft. The images of the target aircraft projected on the videocamera plane of the follower aircraft are...

Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, but very few manage to achieve a high level of accuracy without sacrificing processing speed. This paper presents a novel motion estimation algorithm, which gives excellent results on both counts. The algorithm starts b...

We describe the implementation of, and results from, a real-time active surveillance vision system which detects moving objects in an everyday environment, directs the gaze of a head/eye platform towards the objects and subsequently pursues them smoothly. Target detection and pursuit are performed purely on the basis of image motion, and can continue over extended periods. Two independent paral...

Most of the basic problems in computer vision, as formulated, admit infinitely many solutions. But vision is full of redundancy and there are several sources of information that if combined can provide unique solutions for a problem. Furthermore , even if a problem as formulated has a unique solution, in most cases it is unstable. Combining information sources in this case leads to robust solut...

We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical flows corresponding to independent motions lie in orthogonal ten-dimensional subspaces of a higher-dimensional linear space. We then propose a factorization-based technique that estimates the number of independent motions, the segme...