We report on a system for automatically obtaining high-resolution images of surveillance targets. The system, beginning from a framed target, uses the presence of faces as a cue t...
Alberto Del Bimbo, Andrew D. Bagdanov, Walter Nunz...
Tracking multiple interacting objects represents a challenging area in computer vision. The tracking problem in general can be formulated as the task of recovering the spatio-temp...
This article deals with facial segmentation and liptracking with feedback control for real-time animation of a synthetic 3D face model. Classical approaches consist in two success...
Recent research in object recognition has demonstrated the advantages of representing objects and scenes through localized patterns such as small image templates. In this paper we...
We investigate the problem of anomaly detection for video surveillance applications. In our approach, we use a compression-based similarity measure to determine similarity between...
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of pathology available f...
We present a method for solving the global illumination problem for synthetic diffuse objects. The approach generates realistic shading for applications where a synthetic object i...