Medical image processing tools are playing an increasingly important role in assisting the clinicians in diagnosis, therapy planning and image-guided interventions. Accurate, robust and fast tracking of deformable anatomical objects such as the heart, is a crucial task in medical image analysis. One of the main challenges is to maintain an anatomically consistent representation of target appear...

An efficient, global and local image-processing based extraction and tracking of intransient facial features and automatic recognition of facial expressions from both static and dynamic 2D image/video sequences is presented. Expression classification is based on Facial Action Coding System (FACS) a lower and upper face action units (AUs), and discrimination is performed using Probabilistic Neur...

In this paper, we design an image tracking system which is composed of two cameras and two stepping motors. First, The image pair of a moving target is grabbed by two cameras continuously. The horizontal and vertical distances between both centers of this moving target and the image can be determined by using image processing methods. Furthermore, a fuzzy logic controller pair is designed to co...

Real-time tumor tracking in external radiotherapy can be achieved by diagnostic (kV) X-ray imaging with a dynamic flat-panel detector (FPD). The purpose of this study was to address image lag in target tracking and its influence on the accuracy of tumor tracking. Fluoroscopic images were obtained using a direct type of dynamic FPD. Image lag properties were measured without test devices accordi...

One of the most important research in ITS is the development of systems that automatically analyze or monitor traffic activities. For that purpose, it is necessary to achieve reliable vehicle tracking in traffic images. However, occlusion effect among vehicles had impeded such reliable tracking for a long time. In order to solve this problem we have developed the dedicated tracking algorithm, r...

In this paper we describe a new approach to contour extraction and tracking, which is based on the principles of active contour models and overcomes its shortcomings. We formally introduce active rays, describe the contour extraction as an energy minimization problem and discuss what active contours and active rays have in common. The main diierence is that for active rays a unique ordering of ...

Monocular cameras are one of the most commonly used sensors in the automotive industry for autonomous vehicles. One major drawback using a monocular camera is that it only makes observations in the two dimensional image plane and can not directly measure the distance to objects. In this paper, we aim at filling this gap by developing a multi-object tracking algorithm that takes an image as inpu...