Optical flow estimation is a crucial task in computer vision that provides low-level motion
information. Despite recent advances, real-world applications still present significant …

This research paper introduces a new approach for human activity recognition from UAV-
captured video sequences. The proposed approach involves two phases: an offline phase …

Infrastructure operation and maintenance is essential for societal safety, particularly in
Japan where the aging of infrastructures built during the period of high economic growth is …

This study sought an effective detection method not only for flame but also for the smoke
generated in the event of a fire. To this end, the flame region was pre-processed using the …

Objective skill assessment-based personal performance feedback is a vital part of surgical
training. Either kinematic—acquired through surgical robotic systems, mounted sensors on …

Most approaches for moving object detection (MOD) based on computer vision are limited to
stationary camera environments. In advanced driver assistance systems (ADAS), however …

We investigate the problem of 6 degrees of freedom (DOF) camera planning for filming
professional human motion videos using a camera drone. Existing methods either plan …

Este documento muestra los resultados de la caracterización para la ubicación del
dispositivo de captura de video para implementar en Python las técnicas de visión artificial …

This paper presents an efficient image stitching algorithm with better image quality and less
processing time for online stitching of a continuous image sequence. Stitching many frames …

Transport of mass within cells helps maintain homeostasis and is disrupted by disease and
stress. Here, we develop quantitative phase velocimetry (QPV) as a label-free approach to …