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DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and
  Sparse Features

DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features

25 June 2019
Rohan Chandra
Uttaran Bhattacharya
Aniket Bera
Dinesh Manocha
ArXivPDFHTML

Papers citing "DensePeds: Pedestrian Tracking in Dense Crowds Using Front-RVO and Sparse Features"

5 / 5 papers shown
Title
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded
  Scenes
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Peishan Cong
Xinge Zhu
Feng Qiao
Yiming Ren
Xidong Peng
Yuenan Hou
Lan Xu
Ruigang Yang
Dinesh Manocha
Yuexin Ma
3DV
11
41
0
03 Apr 2022
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior
Rohan Chandra
Aniket Bera
Dinesh Manocha
46
22
0
04 Nov 2021
GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at
  Intersections, Roundabouts, and Merging
GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging
Rohan Chandra
Dinesh Manocha
28
43
0
04 Sep 2021
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds
A. Sathyamoorthy
Utsav Patel
Tianrui Guan
Dinesh Manocha
AI4CE
21
70
0
11 Mar 2020
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
223
3,463
0
21 Mar 2017
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