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Detector–Tracker Integration Framework for Autonomous Vehicles Pedestrian Tracking.

• Authors : Wang, Huanhuan¹ (AUTHOR); Jin, Lisheng^1,2 (AUTHOR) ; He, Yang¹ (AUTHOR)

• Source: Remote Sensing. Apr2023, Vol. 15 Issue 8, p2088. 20p.

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An anti-occlusion optimization algorithm for multiple pedestrian tracking.

• Authors : Zhang, Lijuan^1,2 (AUTHOR); Ding, Gongcheng² (AUTHOR); Li, Guanhang² (AUTHOR)

Subjects: *OPTIMIZATION algorithms; *TRACKING radar; *TRACKING algorithms

• Source: PLoS ONE. 1/31/2024, Vol. 19 Issue 1, p1-19. 19p.

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基于生成对抗网络的多目标行人跟踪算法.

• Authors : 魏颖¹; 徐楚翘¹; 刁兆富¹

• Source: Journal of Northeastern University (Natural Science). Dec2020, Vol. 41 Issue 12, p1673-1720. 8p.

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An Integrated Deep Learning Framework for Occluded Pedestrian Tracking

• Authors : Baochang Zhang; Kai Chen; Baocun Hou

Subjects: Color histogram; General Computer Science; Computer science

• Source: IEEE Access, Vol 7, Pp 26060-26072 (2019)

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Online Tracker Optimization for Multi-Pedestrian Tracking Using a Moving Vehicle Camera

• Authors : Byoung Chul Ko; SangJun Kim; Jae-Yeal Nam

Subjects: 0209 industrial biotechnology; General Computer Science; Computer science

• Source: IEEE Access, Vol 6, Pp 48675-48687 (2018)

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Improved Data Association for Multi-Pedestrian Tracking Using Image Information

• Authors : Flodin, Frida

Subjects: Datorseende och robotik (autonoma system); ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION; Multi-pedestrian tracking

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PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark

• Authors : Xin Li; Qiao Liu; Zhenyu He

Subjects: FOS: Computer and information sciences; Computer science; Computer Vision and Pattern Recognition (cs.CV)

• Source: IEEE Transactions on Multimedia. 22:666-675

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Research on pedestrian tracking algorithm based on deep learning framework

• Authors : Xiaozhen Sun; Hui Li; Chuanxu Wang

Subjects: History; Matching (graph theory); Computer science

• Source: Journal of Physics: Conference Series. 1176:032028

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Dynamic Track Management in MHT for Pedestrian Tracking Using Laser Range Finder

• Authors : Abdul Hadi Abd Rahman; Hairi Zamzuri; Saiful Bahri Samsuri

Subjects: Engineering; Article Subject; Computational complexity theory

• Source: Mathematical Problems in Engineering, Vol 2015 (2015)

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Robust multi-view pedestrian tracking using neural networks

• Authors : Tarek M. Taha; Zahangir Alom

Subjects: Background subtraction; business.industry; Computer science

• Source: 2017 IEEE National Aerospace and Electronics Conference (NAECON).

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