computer-vision-10

Real-Time Multi-Object Tracking

3260 papers • 126 benchmarks • 313 datasets

Online and Real-time Multi-Object Tracking would achieve the real-time speed over 30 frames per second with online approach.

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Most implemented papers

Towards Real-Time Multi-Object Tracking

Shengjin Wang, Liang Zheng, Zhongdao Wang, Yixuan Liu•Thu Sep 26 2019

This work incorporates the appearance embedding model into a single-shot detector, such that the model can simultaneously output detections and the corresponding embeddings, and is formulated as a multi-task learning problem.

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Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management

M. Jeon, Young-min Song, Kwangjin Yoon, Young-Chul Yoon, K. Yow•Tue Jul 30 2019

This paper proposes an efficient online multiobject tracking framework based on the Gaussian mixture probability hypothesis density (GMPHD) filter and occlusion group management scheme where the GMPHD filter utilizes hierarchical data association to reduce the false negatives caused by miss detection.

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Towards Streaming Perception

Deva Ramanan, Mengtian Li, Yu-Xiong Wang•Wed May 20 2020

There exists an optimal "sweet spot" that maximizes streaming accuracy along the Pareto optimal latency-accuracy curve, asynchronous tracking and future forecasting naturally emerge as internal representations that enable streaming perception, and dynamic scheduling can be used to overcome temporal aliasing.

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Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking

J. Rehg, Fuxin Li, Chanho Kim, Mazen Alotaibi•Wed Jan 27 2021

This paper solves the problem of simultaneously considering all tracks during memory updating, with only a small spatial overhead, via a novel multi-track pooling module and proposes a training strategy adapted to multi- track pooling which generates hard tracking episodes online.

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SFSORT: Scene Features-based Simple Online Real-Time Tracker

M. Morsali, H. Mohammadzade, Z. Sharifi, F. Fallah, S. Hashembeiki, S. B. Shouraki•Wed Apr 10 2024

This paper employs a tracking-by-detection method, following the online real-time tracking approach established in prior literature, and introduces SFSORT, the world's fastest multi-object tracking system based on experiments conducted on MOT Challenge datasets.

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