Multi-branch fusion module for siamese object tracking

Gaoxiang Li; Xiaofeng Lu; Chongke Wang; Jingbo Xu

doi:10.1117/12.3024690

3 April 2024 Multi-branch fusion module for siamese object tracking

Gaoxiang Li, Xiaofeng Lu, Chongke Wang, Jingbo Xu

Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 1307804 (2024) https://doi.org/10.1117/12.3024690
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China

Abstract

Various mainstream target tracking algorithms based on siamese networks are gradually becoming a trend in the field of deep learning tracking due to their concurrent advantages of accuracy and speed. Most siamese network-based trackers describe the tracking of a target object as a similar matching problem, and these trackers have achieved more advanced performance in several public tests. Most trackers often suffer from tracking drift or performance degradation owing to the non-updating of the template in the first frame and the target appearance encounters disturbing environments such as occlusion and drastic deformation. To address the current problem, this paper proposes an algorithm for fusion of multi-branch modules based on siamese network to achieve the fusion of target templates for updating, which improves the tracker's anti-jamming ability and the network structure is anchor-free. Meanwhile, this paper designs a new fusion module that fuses templates by inserting weight tensor method for multi-template fusion and optimises the results by complementary weight tensors. This method is practiced in SiamFC++ algorithm, where the target dataset is input and features are extracted, and then classification and regression operations are performed by fusion of multi-branch modules to get the predicted position of the target.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Gaoxiang Li, Xiaofeng Lu, Chongke Wang, and Jingbo Xu "Multi-branch fusion module for siamese object tracking", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 1307804 (3 April 2024); https://doi.org/10.1117/12.3024690

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KEYWORDS

Detection and tracking algorithms

Feature fusion

Video

Convolution

Image fusion

Ablation

Image processing

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