Results 21 to 30 of about 66,174 (304)

Deep learning for multiple object tracking: a survey

IET Computer Vision, 2019
Deep learning has been proved effective in multiple object tracking, which confronts the difficulties of frequent occlusions, confusing appearance, in‐and‐out objects, and lack of enough labelled data.
Yingkun Xu, Xiaolong Zhou, Shengyong Chen, Fenfen Li   +3 more
doaj   +2 more sources

Multiple Object Tracking With Attention to Appearance, Structure, Motion and Size

IEEE Access, 2019
Objective of multiple object tracking (MOT) is to assign a unique track identity for all the objects of interest in a video, across the whole sequence. Tracking-by-detection is the most common approach used in addressing MOT problem.
Hasith Karunasekera, Han Wang, Handuo Zhang   +2 more
doaj   +3 more sources

Multiple Object Tracking Without Pre-attentive Indexing [PDF]

Open Mind
Shubhamkar Ayare, Nisheeth Srivastava
doaj   +2 more sources

Visual Multiple-object Tracking Algorithm Based on Motion Consistency

Kongzhi Yu Xinxi Jishu, 2023
The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without ...
YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin   +5 more
doaj   +3 more sources

Multiple Object Tracking with Correlation Learning [PDF]

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
11 pages, 5 figures, Accepted to CVPR ...
Qiang Wang 0054, Yun Zheng, Pan Pan, Yinghui Xu   +3 more
openaire   +2 more sources

Study on the correlation between multiple object tracking ability and eye- tracking characteristics in sports decision making among basketball players. [PDF]

PeerJ
Gou Q, Li S.
europepmc   +3 more sources

Object-Centric Multiple Object Tracking

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
ICCV 2023 camera-ready ...
Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He 0002, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu 0001, Francesco Locatello, Zheng Zhang 0001, Tianjun Xiao   +15 more
openaire   +3 more sources

Multiple Object Tracking Using Edge Multi-Channel Gradient Model With ORB Feature

IEEE Access, 2021
Multiple object tracking based on tracking-by-detection is the most common method used in addressing illumination change and occlusion problems. In this paper, we present a tracking algorithm based on Edge Multi-channel Gradient Model.
Jieyu Chen, Zhenghao Xi, Chi Wei, Junxin Lu, Yuhui Niu, Zhongfeng Li   +5 more
doaj   +1 more source

Object Detection-Tracking Algorithm for Unmanned Surface Vehicles Based on a Radar-Photoelectric System

IEEE Access, 2021
Object tracking is an important basis for the autonomous navigation of unmanned surface vehicles. However, several problems still must be addressed for a wide applicating of object tracking in unmanned surface vehicles.
Qingze Yu, Bo Wang, Yumin Su
doaj   +1 more source

Multiple Object Tracking of Drone Videos by a Temporal-Association Network with Separated-Tasks Structure

Remote Sensing, 2022
The task of multi-object tracking via deep learning methods for UAV videos has become an important research direction. However, with some current multiple object tracking methods, the relationship between object detection and tracking is not well handled,
Yeneng Lin, Mengmeng Wang, Wenzhou Chen, Wang Gao, Lei Li, Yong Liu   +5 more
doaj   +1 more source