This paper presents two approaches for pedestrian detection and counting at bus stops, whose purpose is to provide accurate demand estimates for an automated fleet scheduling and dispatching system. The approaches are ...

Images often contain very small and hardly detectable objects or patterns, which can be of grave importance for diagnosis. In this paper we present a new method for aiding medical doctors in diagnosis of such images by ...

A technique has been developed whereby motion can be detected in real time during the acquisition of data. This enables the implementation of several algorithms to reduce or eliminate motion effects from an image as it is ...

This work aims at detecting pedestrians in surveillance video sequences. A pre-processing step detects motion regions on the image using a scene background model based on level lines, which generates a Movement Feature ...

In this work we present a new way of simultaneously solving the problems of motion detection and background image reconstruction. An accurate estimation of the background is only possible if we locate the moving objects. ...

This work presents the development of a program that detects the flow of people in a sequence of images. The program uses the C++ programming language and OpenCV, which is a multiplatform library aimed at developing ...

Cardiovascular disease is the leading cause of mortality worldwide, with atherosclerotic coronary artery disease (CAD) accounting for the majority of cases. X-ray coronary angiography and computed tomography coronary ...

This paper presents a surveillance system that performs automatic movement detection utilizing a video capture device. The automatic movement detection allows users to be notified about security events without the need of ...

Close range photogrammetry (CRP) with large field-of-view images has become widespread in recent years, especially in terrestrial mobile mapping systems (TMMS). However, feature-based matching (FBM) with omnidirectional ...