When observing a dynamic world, the size of image structures may vary over time. This article emphasizes the need for including explicit mechanisms for automatic scale selection in feature tracking algorithms in order to: (i) adapt the local scale of processing to the local image structure, and (ii) adapt to the size variations that may occur over time. The problems of corner detection and blob...

Introduction: Voxel based morphometry is a type of statistical parametric mapping that can be used to investigate the effect of diseases such as epilepsy, Alzheimer's disease and Parkinson's disease or other agent such as skills on brain structure (white matter, gray matter and cerebrospinal fluid). The aim of this study is evaluate the effectiveness of this method in detection of differen...

This Abstract-Paper presents an innovative approach to improve the performance of vehicle detection and classification in context computer vision. study proposes use Region Interest (ROI) identify process information traffic images. The proposed method is based on a combination deep learning-based object algorithms with more focused ROI-based approach. First, we state-of-the-art convolution neu...

Identifying the Region or Object of Interest in a natural scene is a complex task because the content of natural images consists of the multiple non-uniform sub-regions and the intensity inhomogeneities. In this paper, we present a novel Region of Interest (ROI) detection method to minimize the ROI in the images automatically. We applied the geometric active contours that forces the variational...

The determination of Region-of-Interest has been recognised as an important means by which unimportant image content can be identified and excluded during image compression or image modelling, however existing Region-of-Interest detection methods are computationally expensive thus are mostly unsuitable for managing large number of images and the compression of images especially for real-time vi...

Vital signs monitoring is ubiquitous in clinical environments and emerging in home-based healthcare applications. Still, since current monitoring methods require uncomfortable sensors, respiration rate remains the least measured vital sign. In this paper, we propose a video-based respiration monitoring method that automatically detects a respiratory region of interest (RoI) and signal using a c...