Vision-based method for tracking workers by integrating deep learning instance segmentation in off-site construction

B Xiao, H Xiao, J Wang, Y Chen - Automation in Construction, 2022 - Elsevier
Vision-based tracking of construction workers is the fundamental step for many automated
applications in off-site construction. This research proposes a vision-based method for …

RPformer: A robust parallel transformer for visual tracking in complex scenes

F Gu, J Lu, C Cai - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
The Siamese architecture has shown remarkable performance in the field of visual tracking.
Although the existing Siamese-based tracking methods have achieved a relative balance …

Apt-36k: A large-scale benchmark for animal pose estimation and tracking

Y Yang, J Yang, Y Xu, J Zhang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Animal pose estimation and tracking (APT) is a fundamental task for detecting and tracking
animal keypoints from a sequence of video frames. Previous animal-related datasets focus …

视频目标跟踪算法综述.

刘艺, 李蒙蒙, 郑奇斌, 秦伟… - Journal of Frontiers of …, 2022 - search.ebscohost.com
视频目标跟踪是计算机视觉领域重要的研究内容, 主要研究在视频流或者图像序列中定位其中感
兴趣的物体. 视频目标跟踪在视频监控, 无人驾驶, 精确制导等领域中具有广泛的应用, 因此 …

Efficient universal shuffle attack for visual object tracking

S Liu, Z Chen, W Li, J Zhu, J Wang… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Recently, adversarial attacks have been applied in visual object tracking to deceive deep
trackers by injecting imperceptible perturbations into video frames. However, previous work …

Learning localization-aware target confidence for siamese visual tracking

J Nie, Z He, Y Yang, M Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Siamese tracking paradigm has achieved great success, providing effective appearance
discrimination and size estimation by classification and regression. While such a paradigm …

Deep learning-based object tracking in satellite videos: A comprehensive survey with a new dataset

Y Li, L Jiao, Z Huang, X Zhang, R Zhang… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
As a fundamental task for research in satellite videos (SVs), object tracking is used to track
the target of interest in traffic evaluation, military security, and so forth. The current satellite …

Spreading fine-grained prior knowledge for accurate tracking

J Nie, H Wu, Z He, M Gao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the widespread use of deep learning in single object tracking task, mainstream tracking
algorithms treat tracking as a combined classification and regression problem. Classification …

Robotic seam tracking system combining convolution filter and deep reinforcement learning

Y Zou, T Chen, X Chen, J Li - Mechanical Systems and Signal Processing, 2022 - Elsevier
To perform automatic, real-time seam tracking tasks effectively, a robust and accurate seam
tracking system must be designed. In this paper, we solve the seam tracking issue using a …

Siamese implicit region proposal network with compound attention for visual tracking

S Chan, J Tao, X Zhou, C Bai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, siamese-based trackers have achieved significant successes. However, those
trackers are restricted by the difficulty of learning consistent feature representation with the …