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Modeling Continuous Motion for 3D Point Cloud Object Tracking
[article]
2024
arXiv
pre-print
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However, existing approaches have primarily relied on appearance matching or motion modeling within only two successive frames, thereby overlooking the long-range continuous motion property of objects ...
To achieve effective cross-frame message passing, a hybrid attention mechanism is designed to account for both long-range relation modeling and local geometric feature extraction. ...
Acknowledgements This study is supported under the RIE2020 Industry Alignment Fund -Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry ...
arXiv:2303.07605v2
fatcat:qknkcp7sjnbolisfvf5vwcltp4
An Adaptive Approach for Validation in Visual Object Tracking
2015
Procedia Computer Science
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The uncertainty of validating unpredictable features in object tracking is a challenging task in visual object tracking with occlusion and large appearance variation. ...
To achieve the goal of intelligent motion perception, much effort has been spent on visual object tracking. ...
Struck [3] : This track presents a framework for adaptive visual object tracking based on structured output prediction. ...
doi:10.1016/j.procs.2015.08.010
fatcat:6vepqnyj2zdbhn2rfqgxk6qom4
Robust Object Modeling for Visual Tracking
[article]
2023
arXiv
pre-print
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To enjoy the merits of both methods, we propose a robust object modeling framework for visual tracking (ROMTrack), which simultaneously models the inherent template and the hybrid template features. ...
Object modeling has become a core part of recent tracking frameworks. ...
In order to enjoy the merits of separate and hybrid tem-plate modeling simultaneously, we propose a robust object modeling framework for visual tracking (named ROM-Track). ...
arXiv:2308.05140v1
fatcat:ka5p7xxe6zdxrewzo7witgkbcm
Vision Tracking: A Survey of the State-of-the-Art
2020
SN Computer Science
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The overall visual tracking process is divided into four stages-object initialization, appearance modeling, motion estimation, and object localization. ...
Developing a robust visual tracking system is challenging because of the sudden change in object motion, cluttered background, partial occlusion and camera motion. ...
A visual tracking system consists of four modules, i.e., object initialization, appearance modeling, motion estimation and object localization. ...
doi:10.1007/s42979-019-0059-z
fatcat:t27eoupbpzfkzcawi7dekfrwcq
Visual Object Target Tracking Using Particle Filter: A Survey
2013
International Journal of Image Graphics and Signal Processing
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This paper gives the survey of the existing developments of Visual object target tracking using particle filter from the last decade and discusses the advantage and disadvantages of various particle filters ...
on the robust appearance model which can account for slow or rapid changes of object appearance. ...
applications. 42
A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity[64] The authors employed a fully ...
doi:10.5815/ijigsp.2013.06.08
fatcat:olg4prc5pjghza3pwzi6cigvky
Feature tracking for visual servoing purposes
2005
Robotics and Autonomous Systems
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Object tracking is an important issue for research and application related to visual servoing and more generally for robot vision. ...
We briefly present a set of tracking algorithms (2D features-based or motion-based tracking, 3D model-based tracking, . . . ) that have been used for ten years to achieve this goal. ...
visual servoing, and of Muriel Pressigout dealing with hybrid tracking. ...
doi:10.1016/j.robot.2005.03.009
fatcat:rfrnizajqrd6rccv4m2nll7kuq
Recent results in visual servoing
2008
AIP Conference Proceedings
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In the second part, a pose estimation and tracking algorithm is described to deal with real objects whose 3D model is known. ...
This paper presents new advances in the £eld of visual servoing. More precisely, we consider the case where complex objects are observed by a camera. ...
For that, we present a real-time 3D model-based tracking of objects in monocular image sequences. ...
doi:10.1063/1.2953050
fatcat:ed5p4kfelzf5rf4kmc2obna65y
Active Tracking System with Rapid Eye Movement Involving Simultaneous Top-down and Bottom-up Attention Control
[chapter]
2008
Computer Vision
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In Section 3, details about the proposed algorithms are given and we propose a new feature coherency measure for selecting useful features for tracking, followed by demonstration of robustness and stability ...
In Section 2, we review conventional active vision systems for object tracking. ...
Hayashi (Figs. 5, 6, and 8), and Onodera ( Fig. 7) for the implementation and design of the proposed system.
References ...
doi:10.5772/6148
fatcat:obywuy5vyvdabjfvzn2dgedvqe
Joint Bayes Filter: A Hybrid Tracker for Non-rigid Hand Motion Recognition
[chapter]
2004
Lecture Notes in Computer Science
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In this paper we present a hybrid HMM/Particle filter tracker for simultaneously tracking and recognition of non-rigid hand motion. ...
Non-linear dynamics of the articulation such as fast appearance deformation can therefore be tracked without resorting to a complex kinematic model. ...
Since during visual tracking, making the right predictions at each time instants is the major objective, we come to the Bayesian tracking formula. ...
doi:10.1007/978-3-540-24672-5_39
fatcat:4bk2twxdu5eljbplfqjgfscava
Person Tracking Based on a Hybrid Neural Probabilistic Model
[chapter]
2011
Lecture Notes in Computer Science
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This article presents a novel approach for a real-time person tracking system based on particle filters that use different visual streams. ...
A short-term memory mechanism enhances the tracking robustness. Experimental results show that robust real-time person tracking can be achieved. ...
Accordingly, our model has potential as a robust method for object detection and recognition in complex conditions. ...
doi:10.1007/978-3-642-21738-8_47
fatcat:xohmujv6k5dc3mgoselqtzgnoa
A Robust Object Tracking Method for Surveillance Applications to Handle Occlusion
2021
Journal of clean energy technologies
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Secondly we proposed a robust tracking scheme that can handle occlusion and drift problems as well as other visual object tracking challenges to predict the target object position when occlusion is occurred ...
The proposed scheme adopts an efficient integration of motion modeling via particle-kalman-filter (PKF) into the kernelized correlation filter (KCF) tracking framework to achieve an efficient and robust ...
Zhu Liang Yu did review and editing of manuscript; Madah-Ul-Mustafa wrote the paper; all had approved the final version. ...
doi:10.7763/ijcte.2021.v13.1283
fatcat:wvxodbdbinhbzgvvb2fp5hlmuy
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning About Moving Objects
2018
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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processing pipeline for detection based object tracking and motion analysis. ...
We propose a hybrid architecture for systematically computing robust visual explanation(s) encompassing hypothesis formation, belief revision, and default reasoning with video data. ...
Acknowledgements We acknowledge funding as part of the German Research Foundation (DFG) CRC 1320 "EASE -Everyday Activity Science and Engineering" (http://www.ease-crc.org/) Project P3: "Spatial Reasoning ...
doi:10.1609/aaai.v32i1.11569
fatcat:3sgocskbavderoy3x7u772on5u
Variable Number of "Informative" Particles for Object Tracking
2007
Multimedia and Expo, 2007 IEEE International Conference on
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Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. ...
In this paper, we estimate the number of required particles using the Kullback-Leibler distance (KLD), which is called KLD-sampling, and we use a hybrid dynamic model to generate diversified particles, ...
Recently, a robust and popular variational method, Mean Shift (MS) [3] , has been applied to visual tracking. ...
doi:10.1109/icme.2007.4285053
dblp:conf/icmcs/HuangL07
fatcat:z23zml2s2vcelmwokubgq3bpe4
Online Learning and Robust Visual Tracking using Local Features and Global Appearances of Video Objects
[chapter]
2011
Object Tracking
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While both the global and local object models offer some attractive properties for visual tracking, hybrid models that combines these two types of models may offer better results as they can complement ...
Introduction This chapter describes a novel hybrid visual object tracking scheme that jointly exploits local point features, global appearance and shape of target objects. ...
Dynamics of multiple parameters changes representing features and motion of the objects, and temporary partial or full occlusion of the tracked objects have to be considered. ...
doi:10.5772/14839
fatcat:vrafmspqazcihowjm4zzwwshtm
Egocentric Object Tracking: An Odometry-Based Solution
[chapter]
2015
Lecture Notes in Computer Science
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Tracking objects moving around a person is one of the key steps in human visual augmentation: we could estimate their locations when they are out of our field of view, know their position, distance or ...
We implement our algorithm on a wearable board and evaluate its robustness, showing in our preliminary experiments an increase in tracking performance of nearly 20% if compared to currently stateof-the-art ...
position, with Gaussian scattering, etc) and visual features like appearance, position, and motion are extracted and used both for the frame under evaluation (step 2.1) and for the internal model (step ...
doi:10.1007/978-3-319-23234-8_63
fatcat:yjcwfa4l5bau7bizgbkv3yafzy
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