We address the problem of interpreting image velocity fields generated by a moving monocular observer viewing a stationary environment under perspective projection to obtain 3-D information about the relative motion of the observer (egomotion) and the relative depth of environmental surface points (environmental layout). The algorithm presented in this paper involves computing motion and struct...

Structure and nonrigid motion analysis is a very important problem in computer vision. Most of the work in nonrigid motion analysis thus far has aimed at correspondence estimation from the complete structure of the scene (stereo or range), \optic ow" analysis of image sequences, or 2D image registrations. Limited study has been conducted to track both structure and nonrigid motion at the same t...

In this paper we address the problem of complex events in degraded image sequences. The occurrence of these complex events causes the failure of the motion estimation process. Consequently, the sequence of operations that rely on it, such as motion compensation and motion picture restoration, will fail as well. We present a statistical analysis of such areas, as well as a taxonomy of pathologic...

This paper presents a general framework for image-based analysis of 3D repeating motions that addresses two limitations in the state of the art. First, the assumption that a motion be perfectly even from one cycle to the next is relaxed. Real repeating motions tend not to be perfectly even, i.e., the length of a cycle varies through time because of physically important changes in the scene. A g...

This paper presents a system for detection and recognition of pests in stored-grain based on video analysis. Unlike current systems which conduct analysis of static images, the proposed system uses video data captured by camera and performs video analysis to detect and recognize pests in grain. By using video data instead of static images, techniques such as motion estimation and multiple-frame...

In estimating multiple image motions, a central problem is that 2D motion estimation and region segmentation are mutually dependent. This paper presents a new region description method for dealing with this mutual dependence problem. Segmentation and motion esiimation are simultaneously performed by a clustering process based on color, motion, and pixel position. As a result of the clustering, ...

Human motion analysis is receiving increasing attention from computer vision researchers. This interest is motivated by a wide spectrum of applications, such as athletic performance analysis, surveillance, man–machine interfaces, content-based image storage and retrieval, and video conferencing. This paper gives an overview of the various tasks involved in motion analysis of the human body. We ...

We describe a robust new approach to extract semantic concept information based on explicitly encoding static image appearance features together with motion information. For high-level semantic concept identification detection in broadcast video, we trained multi-modality classifiers which combine the traditional static image features and a new motion feature analysis method (MoSIFT). The exper...

...............................................................................................................................1 Background and Significance ..............................................................................................2 Parkinson’s Disease ..........................................................................................................2 Exercise and PD ...