Survey of single-object tracking in computer vision
Survey of single-object tracking in computer vision
Single Object Tracking: A Survey of Methods, Datasets, and Evaluation Metrics
arXiv paper abstract https://arxiv.org/abs/2201.13066
arXiv PDF paper https://arxiv.org/ftp/arxiv/papers/2201/2201.13066.pdf
Object tracking is one of the foremost assignments in computer vision that has numerous commonsense applications such as traffic monitoring, robotics, autonomous vehicle tracking, and so on.
... diverse challenges such as occlusion, illumination variations, fast motion, etc. researches in this area continues.
In this paper, ... a comprehensive classification is displayed that classified the following strategies into four fundamental categories of feature-based, segmentation-based, estimation-based, and learning-based methods
... center of this paper is on learning-based strategies, which are classified into three categories of generative strategies, discriminative strategies, and reinforcement learning.
... Since of high-performance, deep learning has as of late been exceptionally much consider.
Finally, the different datasets and the evaluation methods that are most commonly used will be introduced.
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