computer-vision-7
3D Single Object Tracking
3260 papers • 126 benchmarks • 313 datasets
3D tracking of a single object, based on an initial 3D bounding box, provided to the tracker. 3D single object tracking is commonly performed using point cloud data from Lidars, as it provides valuable depth information, which is lost in camera images. However, irregular point cloud structure and an increasing point sparsity with distance makes Lidar-based 3D single object tracking a nontrivial task.
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Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
Shuguang Cui, Wei Zhang, Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Zhen Li•Mon Aug 09 2021
This work proposes the BoxCloud, an informative and robust representation, to depict an object using the point-to-box relation, and designs an efficient box-aware feature fusion module, which leverages the aforementioned BoxCloud for reliable feature matching and embedding.
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