Alzheimer's disease (AD) is a common health problem in elderly people. There has been
considerable research toward the diagnosis and early detection of this disease in the past …

As consumer depth sensors become widely available, estimating scene flow from RGBD
sequences has received increasing attention. Although the depth information allows the …

This paper presents a review of recently developed physics‐based search and optimization
algorithms that have been inspired by natural phenomena. They include Big Bang–Big …

This paper is the first to review the scene flow estimation field, which analyzes and
compares methods, technical challenges, evaluation methodologies and performance of …

Human motion data captured from wearable devices such as smart watches can be utilized
for activity recognition and emergency event detection, especially in the case of elderly or …

A significant number of Computer Vision and Artificial Intelligence applications are based on
descriptors that are extracted from segmented objects. One widely used class of such …

The analysis of 3D motion information is the key to solve various computer vision tasks.
Scene flow estimation tackles the problem of obtaining the 3D motion field. In this paper, we …

In this study, a novel approach, which is the combination of wavelet-based edge correlation
(WEC), speeded up robust features (SURF) feature descriptors and feature point matching …

Cardiac ultrasound imaging tracking is an important issue in medical image analysis. The
results of tracking greatly influence the diagnoses and judgment of physicians. However, the …

This paper introduces a novel spatial method for human action recognition that is
discriminative without needing temporal information or action key poses. First, skeletal data …