Visual Tracking Algorithms - Recent Trends and Challenges: Studying recent trends and challenges in visual tracking algorithms for tracking objects of interest in videos over time
Published 07-07-2022
Keywords
- Visual tracking,
- Object tracking
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
Visual tracking algorithms play a crucial role in various applications such as surveillance, autonomous driving, and human-computer interaction. This paper presents a comprehensive review of recent trends and challenges in visual tracking algorithms. We discuss the evolution of tracking algorithms from traditional methods to modern deep learning-based approaches. The paper also highlights the key challenges faced by current tracking algorithms, including occlusion, scale variation, and motion blur. Furthermore, we analyze the impact of datasets and evaluation metrics on tracking algorithm performance. Finally, we identify future research directions to improve the robustness and efficiency of visual tracking algorithms.
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