Pedestrian Tracking Algorithm Based on Attention Mechanism and Data Association

Author:

Fan Miao1ORCID,Huang Lilian1ORCID,Zheng Zhaodong2ORCID

Affiliation:

1. Harbin Engineering University, Harbin Engineering University,Harbin,HeiLongjiang,China, China

2. Harbin Engineering University, Harbin Engineering University༌Harbin,HeiLongjiang,China, China

Publisher

ACM

Reference23 articles.

1. User Tracking Methods for Augmented Reality

2. A Robust Object Tracking Method for Surveillance Applications to Handle Occlusion

3. Pupil Detection and Tracking Based on a Round Shape Criterion by Image Pocessing Techniques for a Human Eye-Computer Interaction system

4. LAW H and DENG Jia . CornerNet : Detecting objects as paired keypoints[C] . Proceedings of the 15th European Conference on Computer Vision (ECCV) , Munich , 2018 : 734–750. LAW H and DENG Jia. CornerNet: Detecting objects as paired keypoints[C]. Proceedings of the 15th European Conference on Computer Vision (ECCV), Munich, 2018:734–750.

5. ZHOU Xingyi , WANG Dequan , and KRÄHEN BÜHL P. Objects as Points[J]. arXiv preprint arXiv : 1904 .07850,2019. ZHOU Xingyi, WANG Dequan, and KRÄHENBÜHL P. Objects as Points[J]. arXiv preprint arXiv: 1904.07850,2019.

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