Motion analysis often relies on differencing operations that inherently amplify noise and are hindered by the spatial correspondence problem. An alternative approach is proposed using AIJSA (Adaptive learning Image and Signal Analysis) to detect differences in types of motion by classifying the imaging effects of the motion in single frames. With an appropriate feature set, the ALISA engine acc...

Real-time vision can be organised as a sequence of discrete observations, or focal probes, that gather scene information critical to the vision task. Such selective analysis simplifies computations by isolating signal components, and reduces the data load by avoiding unimportant image detail. I outline a sequential approach to the analysis of image motion. The approach uses selection mechanisms...

This chapter addresses an open problem in visual motion analysis, the estimation of image motion in the vicinity of occlusion boundaries. With a Bayesian formulation, local image motion is explained in terms of multiple, competing, nonlinear models, including models for smooth (translational) motion and for motion boundaries. The generative model for motion boundaries explicitly encodes the ori...

Generally, dynamic analysis of human motion using video image sequences is performed with some markers fitted on human’s feature points. Therefore, 3D coordinates for human feature points are obtained in real-time. However, these markers should be removed because these markers often obstruct natural human motion. In order to remove the markers on human body, though 3D human modelling is one of ...

6 We propose an algorithm for estimating the 3D motion direction of a camera that un7 dergoes a pure translation. This algorithm exploits a single blurred image, and recovers the 8 3D translation direction thanks to an accurate analysis of the motion blur, which is char9 acterized by rectilinear smears whose directions and extents typically vary throughout the 10 image. The core of our algorith...

Arms detection is one of the fundamental problems in human motion analysis application. The arms are considered as the most challenging body part to be detected since its pose and speed varies in image sequences. Moreover, the arms are usually occluded with other body parts such as the head and torso. In this paper, histogram-based skin colour segmentation is proposed to detect the arms in imag...

This paper presents a system for animating customized virtual humans using motion parameters estimated from multi-view image sequences. The advantage of our method is that the subject does not have to wear markers or other devices. We offer a detailed analysis of the singularities that might arise during tracking humans using multiple cameras and we provide an analysis of the criteria that allo...

The heart motion study is vital for the understanding and the early diagnosis of cardiac pathologies that remain the primary cause of death in western countries to date. Heart motion analysis require the extraction of quantitative parameters from time sequences of 3D images (4D images) such as volume, sep-tum wall thickness, ejection fraction and motion amplitude. In this paper, we propose a fr...

Medical Image Computing and Computer-Assisted Intervention (MICCAI) is the premier international conference for research in medical image processing and analysis, computer assisted intervention, and medical robotics. MICCAI brings together engineers, clinicians, computer scientists, biologists, physicists, and other researchers and offers them a forum to exchange ideas and present in-depth pape...