Heart motion video tracking is an atraumatic technique for analysing left ventricular wall abnormalities. The borders of the left ventricular silhouette as seen under an image intensifier are tracked at a number of points using two electronic markers, and the procedure is carried out in the posteroanterior, and right and left anterior oblique positions. This movement is converted into an analog...

This paper presents a physical model-based method for recovering and tracking nonrigid motion of elastic objects. The proposed method recovers the motion in terms of actual physical parameters (Young’s modulus) that characterize the dynamics of the objects. The tracking scheme synthesizes the motion of the points inside the object from the boundary observations, constrained by the physical para...

This paper presents a novel tracking based motion segmentation algorithm. The tracking is done by fitting successively more elaborate models of optical flow on the tracked region and the segmentation is done by extracting the regions of the image that are consistent with the computed model of flow. The method can track objects in image sequences with moving background, taken by a hand-held came...

We present a new appearance model for online multi-target tracking, where a patch-based representation of each target to be tracked is introduced along with a sequential update scheme, which we call “motion agreement tracking” (MAT). This method updates the appearance model of each target online by indirectly evaluating the motion consistency among its local patches. We show that a distance mea...

This paper proposes a new system for detecting human motion in a monocular video stream. It is focused on precise tracking of articulated human motion based on skeleton model and joint motion detection. To realize this approach, we introduce the hybrid model consisting of optical tracking and dynamic tracking based on Bayes rule. In this paper, we also introduce the system design integrated wit...

Involuntary ocular tracking responses to background motion offer a window on the dynamics of motion computations. In contrast to spatial attention, we know little about the role of feature-based attention in determining this ocular response. To probe feature-based effects of background motion on involuntary eye movements, we presented human observers with a balanced background perturbation. Two...

This paper puts forward a real-time angular tracking (motion capture) system for a low cost upper limb exosuit based on sensor fusion; which is integrated by an elastic sleeve-mitten, two inertial measurement units (IMU), two flex sensors and a wireless communication system. The device can accurately detect the angular position of the shoulder (flexion-extension, abduction-adduction and interna...

The problem of tracking articulated 3D human motion in video sequences is a challenging one since it involves extracting relevant information from each frame and then exploiting the information in a principled manner determine the pose of each limb. We study the methods of learning image statistics, how humans look and move images and see how these statistics can be used to track humans. Two di...

Even though motion tracking is a widely used technique to analyze and measure human movements, only a few studies focus on motion tracking of infants. In recent years, a number of studies have emerged focusing on analyzing the motion pattern of infants, using computer vision. Most of these studies are based on 2D images, but few are based on 3D information. In this paper, we present a model-bas...