Motion Recording for Surveillance Camera

In this paper we present an operational computer vision system for real-time motion detection and recording that can be used in surveillance system. The system captures a video of a scene and identifies the frames that contains motion and record them in such a way that only the frames that is important to us is recorded and a report is made in the form of a movie is made and can be displayed. All parts that are captured by the camera are recorded to compare both movies. This serves as both a proof-of- concept and a verification of other existing algorithms for motion detection. Motion frames are detected using frame differencing. The results of the experiments with the system indicate the ability to minimize some of the problems false detection and missed detections (like in a sudden change of light in the scene). The software part is written in Matlab language as an M-file and using the Simulink library, the hardware part we used a Pentium 4 computer with a web camera or a laptop integrated camera.

Development of a Scoring System to Assist in the Diagnosis of Rheumatoid Arthritis

During the last decade there has been a wealth of papers discussing the development of scoring systems in medicine, some of which have led to fully operational computer-aided diagnostic systems. In this paper we sketch the development of a simple scoring system for one of the more common rheumatic diseases, rheumatoid arthritis (RA) using a two-tier model, independence Bayes’ followed by logistic discrimination. The scoring system gives reasonably well calibrated probability estimates of RA which suggests ways in which the development of computerised systems in rheumatology might be approached.