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

25 June 2019

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

7 / 7 papers shown

Title
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 Tianyi Zhou Yuexin Ma 3DV 23 41 0 03 Apr 2022
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior Rohan Chandra Aniket Bera Tianyi Zhou 54 22 0 04 Nov 2021
GamePlan: Game-Theoretic Multi-Agent Planning with Human Drivers at Intersections, Roundabouts, and Merging Rohan Chandra Tianyi Zhou 28 43 0 04 Sep 2021
CoMet: Modeling Group Cohesion for Socially Compliant Robot Navigation in Crowded Scenes A. Sathyamoorthy Utsav Patel Moumita Paul Nithish Kumar Yash Savle Tianyi Zhou 26 18 0 22 Aug 2021
Frozone: Freezing-Free, Pedestrian-Friendly Navigation in Human Crowds A. Sathyamoorthy Utsav Patel Tianrui Guan Tianyi Zhou AI4CE 26 70 0 11 Mar 2020
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums Rohan Chandra Uttaran Bhattacharya Trisha Mittal Xiaoyu Li Aniket Bera Tianyi Zhou 31 25 0 30 Sep 2019
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 246 3,466 0 21 Mar 2017