My research interest in computer vision includes human activity recognition, human motion analysis, tracking, human identification, gait and gesture recognition, statistical methods for computer vision. I mainly focus on developing robust real-time algorithms based on sound theory for solving realistic computer vision problems for many applications. My research is widely applicable in visual su...

with the arrival of increasingly higher resolution pet systems, small amounts of motion can cause significant blurring in the images, compared to the intrinsic resolutions of the scanners. in this work, we have reviewed advanced correction methods for the three cases of (i) unwanted patient motion, as well as motions due to (ii) cardiac and (iii) respiratory cycles. for the first type of motion...

The fields of computer vision and computer graphics are, in some sense, the duals of each other. In computer vision the goal is to extract information about a 3D scene from a single image or many images of the scene taken from different viewpoints, while the main goal of a computer graphics system is to generate 2D images (or a sequence of 2D images in the case of computer animation) from 3D da...

A vision-based motion tracking method described in this paper estimates the 3D position and orientation of a moving object of known shape at an average speed of 2.5 seconds per image frame even in complex environments using a conventional computer power. Given a coarse estimate of the initial 3D object pose, the method rst generates an expectation view from which visible model features are auto...

Computer vision requires the processing of images at various levels of abstraction. This thesis explores two image representations for vision which can be classified as "syntactic and "semantic respectively. As an exploration into syntactic (signal level) representations, an image coding technique based on the statistical relationship between subbands of the wavelet transform is explored. A sam...

The Keck Laboratory for the Analysis of Vision Motion is a state-of-the art multi-perspective imaging laboratory recently established at the University of Maryland. In this paper, we describe the design and architecture of the lab, that is currently being used to support many computer vision studies. In particular, we discuss: camera synchronization, image resolution analysis, image noise analy...

Estimation Theoretic Analysis of Motion in Image Sequences by M. Dirk Robinson Estimating the motion (or dynamics) manifested in a set of images or an image sequence is a fundamental problem in both image and video processing and computer vision. From a computer vision perspective, much of what is interpretable in any real-world scene is reflected in the apparent motion. For instance, estimatin...