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 …

Today, artificial intelligence is everywhere in people's daily lives. Visual tracking, which is
used to identify and continuously track specific targets, is an important research domain in …

Transformer is a powerful architecture that achieves superior performance on various
sequence learning tasks, including neural machine translation, language understanding …

摘要基于视觉的目标检测与跟踪是图像处理, 计算机视觉, 模式识别等众多学科的交叉研究课题,
在视频监控, 虚拟现实, 人机交互, 自主导航等领域, 具有重要的理论研究意义和实际应用价值 …

This report contains a review of visual tracking in monocular video sequences. For the
purpose of this review, the majority of the visual trackers in the literature are divided into …

Visual object tracking is a significant computer vision task which can be applied to many
domains, such as visual surveillance, human computer interaction, and video compression …

This study presents a robust approach for characterization of multi-layered forests using
airborne laser scanning (ALS) data. Fuel mapping or biomass estimation requires knowing …

The background-weighted histogram (BWH) algorithm proposed by Comaniciu et al.
attempts to reduce the interference of background in target localisation in mean-shift …

Object appearance modeling is crucial for tracking objects, especially in videos captured by
nonstationary cameras and for reasoning about occlusions between multiple moving …

This paper discusses the possibility of-and need for-tracking workforce on construction
jobsites using video cameras. An evaluation of algorithms and their associated results is …