Interactivity using camera motion tracking is increasingly an active, effective and even entertaining way for users who use digital communication such as motion picture, internet and games in a multimedia era. The goal of this paper is to research the technology and to implement real-time interactive media with camera motion tracking and to apply this to design communication. In this paper we d...

Video is the primary archival source for human movement, with examples ranging from sports coverage of Olympic events to dance routines in Hollywood movies. The ability to reliably track the human figure in movie footage would unlock a large, untapped repository of motion data. Figure tracking using a single video source is a challenging problem due to the size of the state space, the presence ...

An algorithm for dynamic multileaf-collimator (dMLC) tracking of a target performing a known a priori, rigid-body motion during volumetric modulated arc therapy (VMAT), has been experimentally validated and applied to investigate the potential of the Agility (Elekta AB, Stockholm, Sweden) multileaf-collimator (MLC) for use in motion-compensated VMAT delivery. For five VMAT patients, dosimetric ...

Volumetric acquisition with anterior segment optical coherence tomography (ASOCT) is necessary to obtain accurate representations of the tissue structure and to account for asymmetries of the anterior eye anatomy. Additionally, recent interest in imaging of anterior segment vasculature and aqueous humor flow resulted in application of OCT angiography techniques to generate en face and 3D micro-...

Target motion, particularly in the abdomen, due to respiration or patient movement is still a challenge in many diagnostic and therapeutic processes. Hence, methods to detect and compensate this motion are required. Diagnostic ultrasound (US) represents a non-invasive and dose-free alternative to fluoroscopy, providing more information about internal target motion than respiration belt or optic...

Robust motion estimation is obtained by integrating optical flow and region tracking methods into a closedloop architecture. To ensure robust tracking over long intervals in video image sequences, the system has mechanisms to predict and assess tracking performance. Our application is to constrain the estimation of the 3D motion of a camera.

Particle filtering has been successfully used in target tracking applications when the state and measurement models are nonlinear and the associated noise is non-Gaussian. Among the most difficult scenarios of target tracking, are multiple target tracking (MTT) problems that require the application of realistic and often multiple kinematic models. Recently algorithms such as the independent par...

In this paper, we study discriminatively trained deep convolutional networks for the task of visual tracking. Our tracker utilizes both motion and appearance features extracted from a pre-trained dual stream deep convolution network. By using optical flow and deep networks to implement a dual appearance and motion stream to inform tracking, our tracker outperforms current state of the art track...

Monitoring of human activity requires people to be tracked as they move through the scene. Every tracking method requires object detection. We proposed a new method for detection and tracking of multiple moving objects under static background, based on motion detection, background subtraction using canny edge detection with edge difference between consecutives frames. Keywords—motion detection;...

ÐTracking regions in an image sequence is a challenging and difficult problem in image processing and computer vision and at the same time, one that has many important applications: automated video surveillance, video database search and retrieval, automated video editing, etc. So far, numerous approaches to region tracking have been proposed. Many of them suffer from excessive constraints impo...