DeepScale: Online Frame Size Adaptation for Multi-object Tracking on
Smart Cameras and Edge Servers

DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers

22 July 2021

Rong Zheng

Papers citing "DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers"

5 / 5 papers shown

Title
Learning Online Policies for Person Tracking in Multi-View Environments Keivan Nalaie Rong Zheng 19 1 0 26 Dec 2023
MOT20: A benchmark for multi object tracking in crowded scenes Patrick Dendorfer Hamid Rezatofighi Anton Milan Javen Qinfeng Shi Daniel Cremers Ian Reid Stefan Roth Konrad Schindler Laura Leal-Taixé VOT 163 620 0 19 Mar 2020
Towards Real-Time Multi-Object Tracking Zhongdao Wang Liang Zheng Yixuan Liu Yali Li Shengjin Wang VOT 238 844 0 27 Sep 2019
CrowdHuman: A Benchmark for Detecting Human in a Crowd Shuai Shao Zijian Zhao Boxun Li Tete Xiao Gang Yu Xiangyu Zhang Jian-jun Sun 205 670 0 30 Apr 2018
Simple Online and Realtime Tracking with a Deep Association Metric N. Wojke Alex Bewley Dietrich Paulus VOT 217 3,407 0 21 Mar 2017