Recently, optical flow estimation benefits greatly from deep learning based techniques. Most
approaches use encoder-decoder architecture (U-Net) or spatial pyramid network (SPN) to …

This article describes the implementation of a simple wavelet-based optical-flow motion
estimator dedicated to continuous motions such as fluid flows. The wavelet representation of …

Gradual shot change detection is one of the most important research issues in the field of
video indexing/retrieval. Among the numerous types of gradual transitions, the dissolve-type …

Human motion recognition has become an active research area in the field of computer
vision due to its wide range of implementations in domains of video monitoring, virtual …

In harsh flow environments, traditional particle-based velocimetry methods face challenges.
This study explores the use of seedless schlieren images for velocimetry through a novel …

The performance of a wavelet-based optical flow velocimetry (wOFV) algorithm in extracting
high accuracy and high-resolution velocity fields from tracer particle images in wall-bounded …

Accurate optical flow estimation with the frequency-domain regularization is a challenging
problem in computer vision. In this paper, we solve this issue by introducing a novel optical …

Multi-resolution optical flow tracking algorithm based on wavelet pyramid is proposed by
analyzing the limitations of sparse optical flow based on LK (lucas-kanade) algorithm. The …

Since the publication of the comparative study done by Barron et al. on optical flow
estimation, a race was started to achieve more and more accurate and dense velocity fields …