Multiple Object Tracking: A Literature Review

@inproceedings{Luo2014MultipleOT,
  title={Multiple Object Tracking: A Literature Review},
  author={Wenhan Luo and Junliang Xing and Anton Milan and Xiaoqin Zhang and Wei Liu and Xiaowei Zhao and Taekyun Kim},
  year={2014}
}
Multiple Object Tracking (MOT) is an important computer vision problem which has gained increasing attention due to its academic and commercial potential. Although different kinds of approaches have been proposed to tackle this problem, it still remains challenging due to factors like abrupt appearance changes and severe object occlusions. In this work, we contribute the first comprehensive and most recent review on this problem. We inspect the recent advances in various aspects and propose… CONTINUE READING

Citations

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SHOWING 1-10 OF 85 CITATIONS

Comparative Study on Object Tracking Algorithms for mobile robot Navigation in GPS-denied Environment

  • 2019 IEEE International Conference on Industrial Technology (ICIT)
  • 2019
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Joint appearance and motion model for multi-class multi-object tracking

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Deep Affinity Network for Multiple Object Tracking

  • IEEE transactions on pattern analysis and machine intelligence
  • 2018
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Nesne tespit ve takip metotları: Kapsamlı bir derleme

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  • 5 Highly Influenced Citations

  • Averaged 26 Citations per year from 2017 through 2019

References

Publications referenced by this paper.
SHOWING 1-10 OF 168 REFERENCES

Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 14 EXCERPTS
HIGHLY INFLUENTIAL

Occlusion Geodesics for Online Multi-object Tracking

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition
  • 2014
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Detection- and Trajectory-Level Exclusion in Multiple Object Tracking

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition
  • 2013
VIEW 8 EXCERPTS

Discrete-continuous optimization for multi-target tracking

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition
  • 2012
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Online Multi-person Tracking by Tracker Hierarchy

  • 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance
  • 2012
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Multiple Object Tracking Using K-Shortest Paths Optimization

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2011
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL