Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

Conventional neural networks have been demonstrated to be a powerful framework for
background subtraction in video acquired by static cameras. Indeed, the well-known Self …

摘要目前, 人运动的视觉分析是计算机视觉领域中最活跃的研究主题之一, 其核心是利用计算机
视觉技术从图像序列中检测, 跟踪, 识别人并对其行为进行理解与描述, 它在虚拟现实, 视觉监控 …

摘要视觉跟踪问题是当前计算机视觉领域中的热点问题, 本文对这一问题进行了详细的介绍.
首先, 对视觉跟踪技术在视频监视, 图像压缩和三维重构等三个主要方面的应用进行了论述 …

Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

We present the first real-time method to capture the full global 3D skeletal pose of a human
in a stable, temporally consistent manner using a single RGB camera. Our method combines …

We propose a CNN-based approach for 3D human body pose estimation from single RGB
images that addresses the issue of limited generalizability of models trained solely on the …

Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …

There is a large variety of trackers, which have been proposed in the literature during the
last two decades with some mixed success. Object tracking in realistic scenarios is a difficult …