Results 41 to 50 of about 103,598 (304)

Multiple object tracking using particle filters [PDF]

, 2006
The particle filtering technique with multiple cues such as colour, texture and edges as observation features is a powerful technique for tracking deformable objects in image sequences with complex backgrounds.
N. Canagarajah, D. Bull, Canagarajah, N., M. Jaward, Jaward, M., Canagarajah, CN, Bull, D., Mihaylova, LS, L. Mihaylova, Mihaylova, L., Jaward, MH, Bull, DR   +11 more
core   +1 more source

MOTS: Multi-Object Tracking and Segmentation [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
This paper extends the popular task of multi-object tracking to multi-object tracking and segmentation (MOTS). Towards this goal, we create dense pixel-level annotations for two existing tracking datasets using a semi-automatic annotation procedure. Our new annotations comprise 65,213 pixel masks for 977 distinct objects (cars and pedestrians) in 10 ...
Paul Voigtlaender, Michael Krause 0002, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger 0001, Bastian Leibe   +6 more
openaire   +3 more sources

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network

Remote Sensing, 2021
In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-resolution aerial imagery by intensive evaluation of a number of traditional and Deep Learning based Single- and Multi-Object Tracking methods. We also describe
Seyed Majid Azimi, Maximilian Kraus, Reza Bahmanyar, Peter Reinartz   +3 more
doaj   +1 more source

Structural Similarity-Based Object Tracking in Video Sequence [PDF]

, 2006
This paper addresses the problem of object tracking in video sequences. The use of a structural similarity measure for tracking is proposed. The measure reflects the distance between two images by comparing their structural and spatial characteristics ...
Bull, David, Mihaylova, L, Canagarajah, N., Lyudmila Mihaylova, Canagarajah, CN, Bull, D., Artur Loza, Loza, Artur T, Loza, A., Mihaylova, L., Nishan Canagarajah, David Bull   +11 more
core   +1 more source

Omnidirectional Multi-Object Tracking

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accepted to CVPR 2025.
Kai Luo, Hao Shi 0004, Sheng Wu, Fei Teng, Mengfei Duan, Chang Huang, Yuhang Wang, Kaiwei Wang, Kailun Yang 0001   +8 more
openaire   +2 more sources

CollabMOT Stereo Camera Collaborative Multi Object Tracking

IEEE Access
The recent advances in deep learning techniques enable 2D Multi-object tracking (MOT) to achieve remarkable performance over traditional methods. However, most 2D MOT algorithms primarily utilize only single-camera view.
Phong Phu Ninh, Hyungwon Kim
doaj   +1 more source

Multi-Object Tracking in the Dark

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Accepted by ...
Xinzhe Wang, Kang Ma, Qiankun Liu 0001, Yunhao Zou, Ying Fu 0001   +4 more
openaire   +2 more sources

A Solution for Large-Scale Multi-Object Tracking [PDF]

IEEE Transactions on Signal Processing, 2020
17 pages, 4 ...
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
openaire   +3 more sources

On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data [PDF]

, 2012
This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real ...
Gning, Amadou, Mihaylova, Lyudmila, Wieneke, Monika, Koch, Wofgang, Monika Wieneke, Amadou Gning, Marek Schikora, Ulmke, Martin, Petrov, Nikolay, Nikolay Petrov, Lyudmila Mihaylova, Martin Ulmke, Wolfgang Koch, Schikora, Marek   +13 more
core   +1 more source

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