.png){kind=icon}
返回
Siamese global location-aware network for visual object tracking
.png){kind=icon}
PRE
AI
DOI：10.1007/s13042-023-01853-2.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Visual tracking is widely used in industrial systems such as vision servo systems and in intelligent robots. However, most tracking algorithms are designed without considering the balance of algorithmic efficiency and accuracy in system applications, making them less preferable for applications. This paper proposes a siamese global location-aware object tracking algorithm (SiamGLA) to address this issue. First, due to the limited performance of efficient lightweight backbone networks, this study designs an internal feature combination (IFC) module that improves feature representation with almost no additional parameters. Second, a global-aware (GA) attention module is proposed to improve the classification ability of foreground and background, which is especially important for trackers. Finally, a location-aware (LA) attention module is designed to improve the regression performance of the tracking framework. Comprehensive experiments show that SiamGLA is effective, and overcomes the drawbacks of poor robustness and weak generalization ability. When the performance reaches state-of-the-art, SiamGLA requires fewer calculations and parameters, making it more likely to be applied in practice.
Keyword:
Vision-based object tracking
Global location-aware
Lightweight network
期刊
IF:
2.7
论文数:
3.2K
被引数:
5.6K
机构
引用论文
Cobalt oxides nanoparticles supported on nitrogen-doped carbon nanotubes as high-efficiency cathode catalysts for microbial fuel cells负载在氮掺杂碳纳米管上的钴氧化物纳米颗粒作为微生物燃料电池的高效阴极催化剂
OAAI
OAAI分享收藏An Efficient Edge Artificial Intelligence MultiPedestrian Tracking Method With Rank Constraint一种有效的秩约束边缘人工智能多行人跟踪方法
PREAI
分享收藏Role of Urban Landscapes in Changing the Irrigation Water Requirements in Arid Climate.png)
Geosciences
OAAI
GeosciencesIF0
OAAI分享收藏Geriatric Assessments and Medication Therapy Management Approaches in Elderly Oncology Patients
PREAI
分享收藏
查看更多内容