Effective long-term tracking with contrast optimizer
Y Han, Y Liang - Machine Vision and Applications, 2023 - Springer
The main challenge of long-term tracking includes data uncertainty in long-term
observations. Previous methods tackle the long-term tracking task by online update-based …
observations. Previous methods tackle the long-term tracking task by online update-based …
[图书][B] Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part II
The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed
proceedings of 38 out of the 60 workshops held at the 17th European Conference on …
proceedings of 38 out of the 60 workshops held at the 17th European Conference on …
Visual Adapt for RGBD Tracking
G Zhang, Q Liang, Z Mo, N Li… - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Recent RGBD trackers have employed cueing techniques by overlaying Depth modality
images as cues onto RGB modality images, which are then fed into the RGB-based model …
images as cues onto RGB modality images, which are then fed into the RGB-based model …
Siamese refine polar mask prediction network for visual tracking
B Pu, K Xiang, Z Liu, X Wang - Signal, Image and Video Processing, 2024 - Springer
Visual tracking is a classical research problem and recently tracking with mask prediction
has been a popular task in tracking research. Many trackers add a pixel-wise segmentation …
has been a popular task in tracking research. Many trackers add a pixel-wise segmentation …
Feature enhancement and coarse-to-fine detection for RGB-D tracking
Existing RGB-D tracking algorithms advance the performance by constructing typical
appearance models from the RGB-only tracking frameworks. There is no attempt to exploit …
appearance models from the RGB-only tracking frameworks. There is no attempt to exploit …
PETS2021: Through-foliage detection and tracking challenge and evaluation
L Patino, J Boyle, J Ferryman, J Auer… - 2021 17th IEEE …, 2021 - ieeexplore.ieee.org
This paper presents the outcomes of the PETS2021 challenge held in conjunction with
AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the …
AVSS2021 and sponsored by the EU FOLDOUT project. The challenge comprises the …
Dynamic Grasping of Unknown Objects with a Multi-Fingered Hand
An important prerequisite for autonomous robots is their ability to reliably grasp a wide
variety of objects. Most state-of-the-art systems employ specialized or simple end-effectors …
variety of objects. Most state-of-the-art systems employ specialized or simple end-effectors …
Vpit: Real-time embedded single object 3d tracking using voxel pseudo images
In this paper, we propose a novel voxel-based 3D single object tracking (3D SOT) method
called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo …
called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo …
Skelevision: Towards adversarial resiliency of person tracking with multi-task learning
Person tracking using computer vision techniques has wide ranging applications such as
autonomous driving, home security and sports analytics. However, the growing threat of …
autonomous driving, home security and sports analytics. However, the growing threat of …
SiamDAG: Siamese dynamic receptive field and global context modeling network for visual tracking
Q Sheng, J Huang, Z Li, C Zhou, H Yin - Multimedia Tools and …, 2023 - Springer
Trackers based on anchor-free strategy have achieved a great success in recent years.
However, they have limitations. To be specific, receptive fields of their models in each layer …
However, they have limitations. To be specific, receptive fields of their models in each layer …