Online multi-object tracking with efficient track drift and fragmentation handling-Reference-Cited by-同舟云学术

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Online multi-object tracking with efficient track drift and fragmentation handling

Published:2017-01-27 Issue:2 Volume:34 Page:280
ISSN:1084-7529
Container-title:Journal of the Optical Society of America A
language:en
Short-container-title:J. Opt. Soc. Am. A

Author:

Ju Jaeyong,Kim Daehun,Ku Bonhwa,Han David K.,Ko Hanseok

Funder

Brain Korea 21 Plus Project

Korea University (KU)

Office of Naval Research Global (ONRG)

Publisher

The Optical Society

Subject

Computer Vision and Pattern Recognition,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference16 articles.

1. Object Detection with Discriminatively Trained Part-Based Models

2. Fast Feature Pyramids for Object Detection

3. Multiple Object Tracking Using K-Shortest Paths Optimization

4. Continuous Energy Minimization for Multitarget Tracking

5. Multiple Target Tracking by Learning-Based Hierarchical Association of Detection Responses

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1. Moving Multi-Object Detection and Tracking Using MRNN and PS-KM Models;Computer Systems Science and Engineering;2023

2. A survey of detection-based video multi-object tracking;Displays;2022-12

3. CODEN: combined optimization-based decomposition and learning-based enhancement network for Retinex-based brightness and contrast enhancement;Optics Express;2022-06-14

4. Multi-object tracking based on network flow model and ORB feature;Applied Intelligence;2022-02-03

5. Multiple Object Tracking in Deep Learning Approaches: A Survey;Electronics;2021-10-02

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