ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2206.02735
  4. Cited By
People Tracking in Panoramic Video for Guiding Robots

People Tracking in Panoramic Video for Guiding Robots

6 June 2022
Alberto Bacchin
Filippo Berno
Emanuele Menegatti
Alberto Pretto
ArXiv (abs)PDFHTML

Papers citing "People Tracking in Panoramic Video for Guiding Robots"

10 / 10 papers shown
Title
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and
  Spatio-Temporal Association
OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association
S. Kreiss
Lorenzo Bertoni
Alexandre Alahi
104
129
0
03 Mar 2021
Using Panoramic Videos for Multi-person Localization and Tracking in a
  3D Panoramic Coordinate
Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate
Fan Yang
Feiran Li
Yang Wu
S. Sakti
Satoshi Nakamura
37
5
0
24 Nov 2019
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty
  Estimation
MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
Lorenzo Bertoni
S. Kreiss
Alexandre Alahi
UQCV
65
117
0
14 Jun 2019
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity
  Fields
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Zhe Cao
Gines Hidalgo
Tomas Simon
S. Wei
Yaser Sheikh
3DHCVBM
124
4,596
0
18 Dec 2018
Beyond Pixels: Leveraging Geometry and Shape Cues for Online
  Multi-Object Tracking
Beyond Pixels: Leveraging Geometry and Shape Cues for Online Multi-Object Tracking
Sarthak Sharma
J. Ansari
Krishna Murthy Jatavallabhula
K. M. Krishna
VOT
59
169
0
26 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
186
19,316
0
13 Jan 2018
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
Peter Ondruska
Ingmar Posner
62
239
0
02 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,997
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,360
0
04 Jun 2015
1