Multi-object Tracking by Joint Detection and Identification Learning-Reference-Cited by-同舟云学术

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Multi-object Tracking by Joint Detection and Identification Learning

Published:2019-05-06 Issue:1 Volume:50 Page:283-296
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Ke Bo,Zheng Huicheng^ORCID,Chen Lvran,Yan Zhiwei,Li Ye

Funder

National Natural Science Foundation of China

Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund

Project on the Integration of Industry, Education and Research of Guangdong Province

Science and Technology Program of Guangzhou

Major Projects for the Innovation of Industry and Research of Guangzhou

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-019-10046-4.pdf

Reference52 articles.

1. Benfold B, Reid I (2011) Stable multi-target tracking in real-time surveillance video. In: Proceeding of IEEE conference on computer vision and pattern recognition, pp 3457–3464

2. Yilmaz A, Javed O, Shah M (2006) Object tracking: a survey. ACM Comput Surv 38(4):13

3. Yang B, Huang C, Nevatia R (2011) Learning affinities and dependencies for multi-target tracking using a CRF model. In: Proceeding of IEEE conference on computer vision and pattern recognition, pp 1233–1240

4. Koller D, Weber J, Malik J (1994) Robust multiple car tracking with occlusion reasoning. In: Proceedings of European conference on computer vision, pp 189–196

5. Lu WL, Ting JA, Little JJ, Murphy KP (2013) Learning to track and identify players from broadcast sports videos. IEEE Trans Pattern Anal Mach Intell 35(7):1704–1716

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2. Tracking of Aerial Cooperative Target by Satellite-Based Optical Cameras;Communications in Computer and Information Science;2023

3. A Review of Deep Learning-Based Visual Multi-Object Tracking Algorithms for Autonomous Driving;Applied Sciences;2022-10-23

4. An improved object tracking algorithm based on adaptive weighted strategy and occlusion detection mechanism;Journal of Algorithms & Computational Technology;2021-01

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