As a fundamental task in computer vision, visual object tracking has received much attention
in recent years. Most studies focus on short-term visual tracking which addresses shorter …

RGBD (RGB plus depth) object tracking is gaining momentum as RGBD sensors have
become popular in many application fields such as robotics. However, the best RGBD …

Aerial tracking has recently shown significant potential in vision-based measurement.
Despite significant improvements, accurate occlusion tracking remains a difficult challenge …

Visual object tracking is a key component to many egocentric vision problems. However, the
full spectrum of challenges of egocentric tracking faced by an embodied AI is …

In long-term video object tracking (VOT) tasks, most long-term trackers are modified from
short-term trackers, which contain more and more machine learning modules to improve …

In a sequence, the appearance of both the target and background often changes
dramatically. Offline-trained models may not handle huge appearance variations well …

Several different algorithms have been studied to combine the capabilities of baseline
trackers in the context of short-term visual object tracking. Despite such an extended interest …

This paper presents a hunt-inspired Transformer for visual object tracking, dubbed as
HuntFormer. The HuntFormer focuses on robust target detection and identification …

For robust and effective tracking, most efforts strive to design a powerful representation
target model, while we are inspired by the idea of “knowing oneself and knowing others” to …

In outdoor sports such as alpine skiing, athletes hope to obtain information such as
movement trajectory and speed to achieve scientific training. The portable sensor has a …