Tracking Millions of Humans in Crowded Spaces-Reference-Cited by-同舟云学术

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Tracking Millions of Humans in Crowded Spaces

Published:2017 Issue: Volume: Page:115-135
ISSN:
Container-title:Group and Crowd Behavior for Computer Vision
language:
Short-container-title:

Author:

Alahi Alexandre,Ramanathan Vignesh,Fei-Fei Li

Publisher

Elsevier

Reference38 articles.

1. Cascade object detection with deformable part models;Felzenszwalb,2010

2. Rich feature hierarchies for accurate object detection and semantic segmentation;Girshick,2014

3. Pedestrian detection via classification on Riemannian manifolds;Tuzel,2008

4. Pedestrian detection at 100 frames per second;Benenson,2012

5. Monocular pedestrian detection: survey and experiments;Enzweiler,2009

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1. Recent trends in crowd analysis: A review;Machine Learning with Applications;2021-06

2. MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization;2021 IEEE International Conference on Robotics and Automation (ICRA);2021-05-30

3. Deep visual Re-identification with confidence;Transportation Research Part C: Emerging Technologies;2021-05

4. Human Trajectory Forecasting in Crowds: A Deep Learning Perspective;IEEE Transactions on Intelligent Transportation Systems;2021

5. Perceiving Humans: From Monocular 3D Localization to Social Distancing;IEEE Transactions on Intelligent Transportation Systems;2021

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