Results 11 to 20 of about 347,026 (234)

Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism. [PDF]

open access: yesPLoS ONE, 2016
To achieve effective visual tracking, a robust feature representation composed of two separate components (i.e., feature learning and selection) for an object is one of the key issues.
Bineng Zhong   +4 more
doaj   +1 more source

One-Shot Scale and Angle Estimation for Fast Visual Object Tracking

open access: yesIEEE Access, 2019
Visual object tracking is the process of tracking an arbitrary object in a video, where the bounding box of the object is given in the first frame. Siamese network-based visual object tracking approaches have recently received considerable attention for ...
Dong-Hyun Lee
doaj   +1 more source

Visual Object Tracking: The Initialisation Problem [PDF]

open access: yes, 2018
Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
core   +2 more sources

STResNet_CF Tracker: The Deep Spatiotemporal Features Learning for Correlation Filter Based Robust Visual Object Tracking

open access: yesIEEE Access, 2019
Constructing a robust appearance model of the visual object is a crucial task for visual object tracking. Recently, more and more studies combine spatial feature with a temporal feature to improve the tracking performance.
Zhengyu Zhu   +4 more
doaj   +1 more source

Visual object tracking performance measures revisited [PDF]

open access: yes, 2016
The problem of visual tracking evaluation is sporting a large variety of performance measures, and largely suffers from lack of consensus about which measures should be used in experiments.
Kristan, Matej   +2 more
core   +2 more sources

Deep Feature Based Siamese Network for Visual Object Tracking

open access: yesEnergies, 2022
One of the most important and challenging research subjects in computer vision is visual object tracking. The information obtained from the first frame consists of limited and insufficient information to represent an object.
Su-Chang Lim, Jun-Ho Huh, Jong-Chan Kim
doaj   +1 more source

System Analysis Approach to Visual Object Tracking

open access: yesSukkur IBA Journal of Emerging Technologies, 2020
In the modern-day study of system behaviour and analysis, understanding the response of how the system will behave in a certain condition is considered vital.
Obaid Ahmed Khan, Muhammad Ahmed Saeed
doaj   +1 more source

Global Context Attention for Robust Visual Tracking

open access: yesSensors, 2023
Although there have been recent advances in Siamese-network-based visual tracking methods where they show high performance metrics on numerous large-scale visual tracking benchmarks, persistent challenges regarding the distractor objects with similar ...
Janghoon Choi
doaj   +1 more source

Tracking-by-Segmentation Using Superpixel-Wise Neural Network

open access: yesIEEE Access, 2018
A tracking-by-segmentation algorithm, which tracks and segments a target object in a video sequence, is proposed in this paper. In the first frame, we segment out the target object in a user-annotated bounding box.
Se-Ho Lee, Won-Dong Jang, Chang-Su Kim
doaj   +1 more source

An advanced Bayesian model for the visual tracking of multiple interacting objects [PDF]

open access: yes, 2011
Visual tracking of multiple objects is a key component of many visual-based systems. While there are reliable algorithms for tracking a single object in constrained scenarios, the object tracking is still a challenge in uncontrolled situations ...
A Doucet   +29 more
core   +2 more sources

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