Sequential sensor fusion combining probability hypothesis density and kernelized correlation filters for multi-object tracking in video data
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8055736/8078458/08078517.pdf?arnumber=8078517
Cited by 20 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
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3. Multiple Object Tracking in Robotic Applications: Trends and Challenges;Applied Sciences;2022-09-20
4. Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06
5. Improving visual multi‐object tracking algorithm via integrating GM‐PHD and correlation filter;IET Image Processing;2022-01-17
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