Results 31 to 40 of about 34,811 (254)

Multi‐object tracking using dominant sets

IET Computer Vision, 2016
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limited temporal ...
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati   +3 more
doaj   +1 more source

Enhancement Online Multi _Object Tracking In Dynamic Environment [PDF]

International Journal of Intelligent Computing and Information Sciences
Object tracking is crucial for a wide range of computer vision applications, including autonomous navigation and surveillance systems. This paper introduces StrongSort, a novel object tracking algorithm designed to tackle the difficulties of achieving ...
EMAN seleem, Metwally Rashad, Ahmed A. El-Sawy, Ahmed H. AbuEAtta   +3 more
doaj   +1 more source

On the detection-to-track association for online multi-object tracking [PDF]

Pattern Recognition Letters, 2021
Driven by recent advances in object detection with deep neural networks, the tracking-by-detection paradigm has gained increasing prevalence in the research community of multi-object tracking (MOT). It has long been known that appearance information plays an essential role in the detection-to-track association, which lies at the core of the tracking-by-
Xufeng Lin, Chang-Tsun Li, Victor Sanchez, Carsten Maple   +3 more
openaire   +3 more sources

TrackFormer: Multi-Object Tracking with Transformers

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatio-temporal trajectories. We formulate this task as a frame-to-frame set prediction problem and introduce TrackFormer, an end-to-end trainable MOT approach based on an encoder-decoder Transformer architecture.
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer   +3 more
openaire   +2 more sources

Efficient Online Tracking-by-Detection With Kalman Filter

IEEE Access, 2021
Visual tracking of multiple objects in videos has a promisingly broad application in manufacturing, construction, traffic, logistics, etc., especially in large-scale applications where it is not feasible to attach markers to many objects for traditional,
Siyuan Chen, Chenhui Shao
doaj   +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

Survey on Strategies for Solving Target Overlap Issues in Multi-Object Tracking [PDF]

ITM Web of Conferences
With the development of artificial intelligence and related fields, technologies for image recognition and tracking objects have been continuously innovating. Starting from the initial single-object tracking, through numerous research improvements, multi-
Wang Sizhe
doaj   +1 more source

Inferring tracklets for multi-object tracking [PDF]

CVPR 2011 WORKSHOPS, 2011
Recent work on multi-object tracking has shown the promise of tracklet-based methods. In this work we present a method which infers tracklets then groups them into tracks. It overcomes some of the disadvantages of existing methods, such as the use of heuristics or non-realistic constraints.
Prokaj, J, Duchaineau, M A, Medioni, G
openaire   +1 more source

Multi-Object Tracking with Tracked Object Bounding Box Association [PDF]

2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021
6 pages, accepted paper at ICME workshop ...
Nanyang Yang, Yi Wang 0068, Lap-Pui Chau
openaire   +2 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