RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Network-Reference-Cited by-同舟云学术

RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Network

Published:2023-12-06 Issue: Volume:44 Page:1-7
ISSN:
Container-title:ACM Multimedia Asia 2023
language:
Short-container-title:

Author:

Xu Boyue¹^ORCID,Xu Yi¹^ORCID,Hou Ruichao¹^ORCID,Bei Jia¹^ORCID,Ren Tongwei¹^ORCID,Wu Gangshan¹^ORCID

Affiliation:

1. Nanjing University, China

Funder

National Natural Science Foundation of China

Key R&D Project of Jiangsu Province

the Program B for Outstanding Ph.D. candidate of Nanjing University

the Collaborative Innovation Center of Novel Software Technology and Industrialization

the Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626441

Reference41 articles.

1. Implementation of a Character Recognition System Based on Finger-Joint Tracking Using a Depth Camera

2. L. Bertinetto , J. Valmadre , Joo F. Henriques , A. Vedaldi , and Phs Torr . 2016 . Fully-Convolutional Siamese Networks for Object Tracking. In European Conference on Computer Vision Workshops. L. Bertinetto, J. Valmadre, Joo F. Henriques, A. Vedaldi, and Phs Torr. 2016. Fully-Convolutional Siamese Networks for Object Tracking. In European Conference on Computer Vision Workshops.

3. G. Bhat , M. Danelljan , L. V. Gool , and R. Timofte . 2019 . Learning Discriminative Model Prediction for Tracking. In IEEE International Conference on Computer Vision. G. Bhat, M. Danelljan, L. V. Gool, and R. Timofte. 2019. Learning Discriminative Model Prediction for Tracking. In IEEE International Conference on Computer Vision.

4. L. Bo , J. Yan , W. Wei , Z. Zheng , and X. Hu . 2018 . High Performance Visual Tracking with Siamese Region Proposal Network. In IEEE Conference on Computer Vision and Pattern Recognition. L. Bo, J. Yan, W. Wei, Z. Zheng, and X. Hu. 2018. High Performance Visual Tracking with Siamese Region Proposal Network. In IEEE Conference on Computer Vision and Pattern Recognition.

5. M. Camplani , S. Hannuna , M. Mirmehdi , D. Damen , A. Paiement , L. Tao , and T. Burghardt . 2015 . Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. In British Machine Vision Conference. M. Camplani, S. Hannuna, M. Mirmehdi, D. Damen, A. Paiement, L. Tao, and T. Burghardt. 2015. Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. In British Machine Vision Conference.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RGB-D Video Object Segmentation via Enhanced Multi-store Feature Memory;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30