.png){kind=icon}
返回
Spatial graph attention network-based object tracking with adaptive cosine window
.png){kind=icon}
PRE
AI
DOI：10.1007/s10489-023-04839-3.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Most popular Siamese trackers optimize the classification map from the tracking head using a fixed cosine window penalty. However, this fixed operation, which sets the weight and center of the cosine window to fixed values, can lead to tracking errors when there are similar interferences or the target is out of view. In addition, traditional graph attention networks determine attention weights only based on the cosine similarity between nodes, ignoring the relationship between the positions of nodes in the template and search region. To address these issues, this paper proposes a spatial graph attention network-based object tracking with adaptive cosine window in tracking head. The adaptive cosine window combines spatial-temporal information and adjusts the cosine window, using a positional bias Kalman filter to predict the offset of the target in the search region. The location-based attention mask module considers both the similarity between nodes and their positions in the template and search region, rather than just node similarity, which reduces the impact of similar surroundings. The attention weights between nodes are constrained using a position matrix based on Gaussian functions. Extensive experiments on four challenging public datasets (GOT-10k, UAV123, OTB-100, and LaSOT) show that our tracker outperforms other state-of-the-art trackers.
Keyword:
Single object tracking
Graph attention networks
Siamese network
Kalman filter
Attention mask
期刊
IF:
3.5
论文数:
7.6K
被引数:
1.7W
机构
引用论文
A strong tracking adaptive fading-extended Kalman filter for the state of charge estimation of lithium-ion batteries用于锂离子电池荷电状态估计的强跟踪自适应衰落扩展卡尔曼滤波器
OAAI
OAAI分享收藏
Sustaining the efficiency of the Fe(0)/H2O system for Cr(VI) removal by MnO2 amendment.png)
Chemosphere
ChemosphereIF0
PREAI
分享收藏A novel flake-ball-like magnetic Fe3O4/γ-MnO2 meso-porous nano-composite: Adsorption of fluorinion and effect of water chemistryChemosphere
ChemosphereIF0
PREAI
分享收藏Modelling an expert GIS system based on knowledge to evaluate oil spill environmental sensitivity
PREAI
分享收藏
查看更多内容