Visual object tracking comprises a spectrum of methodologies designed to locate and follow a target’s position across sequential video frames. Over the years, the field has developed from traditional ...

近日，山东工商学院在计算机视觉领域取得了重要进展，其信息与电子工程学院的郭文教授合作撰写的论文《Dual-level Adaptation for Multi-Object Tracking: Building Test-Time Calibration from Experience and Intuition》成功被IEEE/CVF计算机视觉与模式识别会议（CVPR 2026）接收。这标志着山 ...

Humanoid robot David is perceiving a cup using his RGB-D camera; in the following, he will grasp it and fill the dishwasher. Tracking objects and kinematic structures in 3D space and determining their ...

Researchers at the University of Toronto Institute for Aerospace Studies (UTIAS) have introduced a pair of high-tech tools that could improve the safety and reliability of autonomous vehicles by ...

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A team of Microsoft and Huazhong University researchers this week ...

The invention 'Deep-learning method for multi-object tracking from video' was granted a utility patent by the United States Patent and Trademark Office (USPTO).