Autonomous multisensor tracking surveillance system
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The Smart Machine Vision Sensor (SMVS) is a self-contained low-cost machine vision system that combines an image sensor, a processing unit and communication interfaces in a single unit. This paper describes the design of the SMVS, the concept of the operat ...
This paper describes a technique for identifying the boundary of the optic disk in digital images of the retina, using an approach based on active contours (snakes). The optic disk is the region on the retina at which optic nerve axons enter and leave the ...
This paper describes a new co-processor architecture designed for CMOS sensor imaging. The co-processor unit is integrated into the image acquisition loop so as to exploit the full potential of CMOS selective access imaging technology. The processing featu ...
For annotating a digital image with information from a digital map, features which are visible from a viewer position are extracted from the map. The extracted features are matched with corresponding features in the image, and feature annotations are trans ...
Digital imaging brings a new set of possibilities to photography. For example, little pictures can be assembled to form a large panorama, and digital cameras are trying to mimic the human visual system to produce better pictures. This manuscript aims at de ...
Starting with a randomly distributed sensor array with unknown sensor orientations, array calibration is needed before target localization and tracking can be performed using classical triangulation methods. In this paper, we assume that the sensors are on ...
Most energy saving applications of advanced fenestration systems (solar blinds, novel types of glazing and daylight redirecting devices) require a precise knowledge of their directional light transmission features. These photometric properties can be descr ...
We propose and demonstrate a nonvolatile holographic recording system for storing two-dimensional images. The readout light in this system is not absorbed by the holographic medium, and the data are preformatted or postformatted so that lines from differen ...
We show that we can effectively fit complex animation models to noisy image data. Our approach is based on robust least squares adjustment and takes advantage of three complementary sources of information: stereo data, silhouette edges and 2D feature point ...
Shadow segmentation is a critical issue for systems aiming at extracting, tracking or recognizing objects in a given scene. Shadows can in fact modify the shape and colour of objects and therefore affect scene analysis and interpretation systems in many ap ...