Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/6909096/6909393/06909555.pdf?arnumber=6909555
Cited by 249 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. Deep Efficient Data Association for Multi-Object Tracking: Augmented with SSIM-Based Ambiguity Elimination;Journal of Imaging;2024-07-16
2. Multi-Object Tracking with Partial-Level Features and Adaptive Threshold Mechanism;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30
3. Object Recognition and Tracking System to Assist Visually Impaired: A Neural Network-Based Deep RBM Technique;2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC);2024-05-02
4. BoostTrack: boosting the similarity measure and detection confidence for improved multiple object tracking;Machine Vision and Applications;2024-04-12
5. AFJPDA: A Multiclass Multi-Object Tracking with Appearance Feature-Aided Joint Probabilistic Data Association;Journal of Aerospace Information Systems;2024-04
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