Results 21 to 30 of about 346,319 (275)

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

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

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

Thermo-visual feature fusion for object tracking using multiple spatiogram trackers [PDF]

open access: yes, 2007
In this paper, we propose a framework that can efficiently combine features for robust tracking based on fusing the outputs of multiple spatiogram trackers. This is achieved without the exponential increase in storage and processing that other multimodal
Alan Smeaton   +11 more
core   +1 more source

Generalized Kernel-based Visual Tracking [PDF]

open access: yes, 2009
In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representation of a target object is an important component of a successful visual ...
Kim, Junae, Shen, Chunhua, Wang, Hanzi
core   +4 more sources

Comparative Object Similarity Learning-Based Robust Visual Tracking

open access: yesIEEE Access, 2019
Tracking-by-detection for visual object tracking is the most popular and successful framework at present. It treats the tracking problem as a classification task and learns information about the target from each tracking result online.
Weiming Yang   +3 more
doaj   +1 more source

A Novel Low-cost FPGA-based Real-time Object Tracking System

open access: yes, 2017
In current visual object tracking system, the CPU or GPU-based visual object tracking systems have high computational cost and consume a prohibitive amount of power.
Gao, Peng   +4 more
core   +1 more source

Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update [PDF]

open access: yes, 2016
Appearance representation and the observation model are the most important components in designing a robust visual tracking algorithm for video-based sensors.
Gao, Changxin   +3 more
core   +3 more sources

Home - About - Disclaimer - Privacy