Telecommunications System & Management

Department of Robot Science and Engineering, Northeastern University, Shenyang, China, Northeastern University, China, China

Publications

• Opinion   
  Efficient Siamese Network with Global Correlation for Single-object Tracking
  Author(s): Yufei Lin*
  
  Single-Object Tracking (SOT) is a fundamental problem in computer vision, where the goal is to track the movement of a single object across a sequence of frames in a video. This problem is challenging due to various factors such as object appearance changes, occlusions, and varying lighting conditions. The task becomes even more difficult when tracking objects in real-time or on resource-constrained devices, where computational efficiency is a critical concern. In recent years, Siamese networks have emerged as a powerful framework for SOT due to their ability to learn discriminative features from pairs of images. However, while Siamese networks have shown great promise, challenges remain in improving their efficiency and tracking performance, especially in terms of handling large amounts of data and maintaining robustness in dynamic environments. The proposed approach, a lightweight S.. Read More»
  DOI: 10.37421/2167-0919.2024.13.472

  Abstract HTML PDF