Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets

18 July 2020

Papers citing "Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets"

8 / 8 papers shown

Title
TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes X. Cao Y. Zheng Yao Yao Huapeng Qin Xiaoyu Cao Shihui Guo 59 1 0 03 Jan 2025
Joint Counting, Detection and Re-Identification for Multi-Object Tracking Weihong Ren Denglu Wu Hui Cao Xi’ai Chen Zhi-Long Han Honghai Liu VOT 19 2 0 12 Dec 2022
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher Juncheng Wang Junyuan Gao Yuan. Yuan Qi. Wang 27 16 0 12 Jun 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting Tao Han Lei Bai Junyuan Gao Qi. Wang Wanli Ouyang OT 31 23 0 23 Mar 2022
Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking Gaoang Wang Yizhou Wang Renshu Gu Weijie Hu Jenq-Neng Hwang VOT 28 40 0 06 May 2021
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting Haoyue Bai Shueng-Han Gary Chan 14 5 0 28 Apr 2021
A Survey on Deep Learning-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal Haoyue Bai Jiageng Mao Shueng-Han Gary Chan 31 22 0 31 Dec 2020
Distilling Knowledge from Graph Convolutional Networks Yiding Yang Jiayan Qiu Mingli Song Dacheng Tao Xinchao Wang 146 226 0 23 Mar 2020