2023
DOI: 10.21203/rs.3.rs-3299923/v1
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GOA-Net: Generic Occlusion Aware Networks for Visual Tracking

Mohana Murali Dasari,
Rama Krishna Gorthi

Abstract: Occlusionis a frequent phenomenon that hinders the task of visual object tracking. Since occlusion can be from any object and in any shape, data augmentation techniques will not greatly help identify or mitigate the tracker loss. Some of the existing works deal with occlusion only in an unsupervised manner. This paper proposes a generic deep learning framework for identifying occlusion in a given frame by formulating it as a supervised classification task for the first time. The proposed architecture introduce… Show more

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