Results 21 to 30 of about 349,441 (269)
IEEE 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
Deep Feature Based Siamese Network for Visual Object Tracking
Energies, 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
Online Object Tracking with Proposal Selection [PDF]
, 2015 Tracking-by-detection approaches are some of the most successful object trackers in recent years. Their success is largely determined by the detector model they learn initially and then update over time.
Alahari, Karteek +2 more
core +6 more sources
System Analysis Approach to Visual Object Tracking
Sukkur 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
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Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion [PDF]
, 2009 Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to the object dynamics.
Blanco Adán, Carlos Roberto del +3 more
core +2 more sources
The Visual Object Tracking VOT2013 Challenge Results [PDF]
2013 IEEE International Conference on Computer Vision Workshops, 2013 Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that ...
Matej Kristan +50 more
openaire +12 more sources
Tracking-by-Segmentation Using Superpixel-Wise Neural Network
IEEE 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
Global Context Attention for Robust Visual Tracking
Sensors, 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
Hard Occlusions in Visual Object Tracking [PDF]
, 2020 Accepted at ECCV 2020 Workshop RLQ ...
Thijs P. Kuipers +2 more
openaire +4 more sources
An advanced Bayesian model for the visual tracking of multiple interacting objects [PDF]
, 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