Results 11 to 20 of about 63,873 (257)

MULTIPLE OBJECT TRACKING USING A TRANSFORM SPACE [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
This paper presents a method for multiple object tracking (MOT) in video streams. The method incorporates the prediction of physical locations of people into a tracking-by-detection paradigm.
M. Li, J. Li, A. Tamayo, L. Nan
doaj   +1 more source

Multiple object tracking: A literature review [PDF]

Artificial Intelligence, 2021
Accepted by Artificial ...
Wenhan Luo, Junliang Xing, Anton Milan, Xiaoqin Zhang 0002, Wei Liu 0005, Tae-Kyun Kim 0001   +5 more
openaire   +3 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

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

Does action disrupt Multiple Object Tracking (MOT)? [PDF]

Psihologija, 2015
While the relationship between action and focused attention has been well-studied, less is known about the ability to divide attention while acting.
Thornton Ian M., Horowitz Todd S.
doaj   +1 more source

Multiple-Camera Tracking of Rigid Objects [PDF]

The International Journal of Robotics Research, 2002
In this paper we describe a method for tracking rigid objects using one or several cameras. The tracking process consists of aligning a 3-D model representation of an object with image contours by measuring and minimizing the image error between predicted model points and image contours.
Martin, Frederick, Horaud, Radu
openaire   +3 more sources