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Joint detection and tracking in videos with identification features

  • Published:2020-08 Issue: Volume:100 Page:103932
  • ISSN:0262-8856
  • Container-title:Image and Vision Computing
  • language:en
  • Short-container-title:Image and Vision Computing

Author:

Munjal Bharti,Aftab Abdul Rafey,Amin Sikandar,Brandlmaier Meltem D.,Tombari Federico,Galasso Fabio

Funder

BMWi - Federal Ministry for Economic Affairs and Energy, Germany

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference53 articles.

1. Ten years of pedestrian detection, what have we learned?;Benenson,2014

2. Mot16: A benchmark for multi-object tracking;Milan;CoRR,2016

3. Re-id Done Right: Towards Good Practices for Person Re-Identification;Almazán,2018

4. Youtube-boundingboxes: a large high-precision human-annotated data set for object detection in video;Real,2017

5. Towards High Performance Video Object Detection for Mobiles;Zhu,2018

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1. Deep learning-based few-shot person re-identification from top-view RGB and depth images;Neural Computing and Applications;2024-08-04

2. BEVSORT: Bird Eye View LiDAR Multi Object Tracking;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. MEDAVET: Traffic Vehicle Anomaly Detection Mechanism based on spatial and temporal structures in vehicle traffic;Journal of Internet Services and Applications;2024-04-24

4. Grid sampling based hypergraph matching technique for multiple objects tracking in video frames;Multimedia Tools and Applications;2023-11-10

5. ParticleAugment: Sampling-based data augmentation;Computer Vision and Image Understanding;2023-02
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