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POSE-VIWEPOINT ADAPTIVE OBJECT TRACKING VIA ONLINE LEARNING APPROACH
2015
International journal of advanced smart convergence
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In this paper, we propose an effective tracking algorithm with an appearance model based on features extracted from a video frame with posture variation and camera view point adaptation by employing the ...
The existing online tracking algorithms update models with features from recent video frames and the numerous issues remain to be addressed despite on the improvement in tracking. ...
for visual tracking algorithm. ...
doi:10.7236/ijasc.2015.4.2.20
fatcat:nskcspbob5djvky5d4h37i3lwa
Implementation of Running Average Background Subtraction Algorithm in FPGA for Image Processing Applications
2013
International Journal of Computer Applications
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We propose a new real time background subtraction algorithm which was implemented with verilog hdl in order to detect moving objects accurately. ...
Initially it was implemented in MATLAB. Among all existing algorithms running average algorithm was choosen because of low computational complexity which is the major parameter of time in VLSI. ...
THE REAL TIME BACKGROUND SUBTRACTION DESIGN This section first reviews the formulation of the Running Average algorithm. ...
doi:10.5120/13022-0259
fatcat:sdyuurxfq5ey5g2ctluiaazusu
End-to-end QoS support for adaptive applications over the Internet
1998
Internet Routing and Quality of Service
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Finally, the theoretical analysis in the paper is carried out in the context of a distributed visual tracking application, in order to demonstrate the effects of adaptation in real systems. ...
First, we are able to quantitatively analyze the stability and responsiveness properties of adaptive algorithms, as well as maintaining fairness properties among all applications. ...
For these real-time applications, QoS guarantees are important rather than adaptations. ...
doi:10.1117/12.333707
fatcat:znamqnyyafh3jci5cbgdhii3be
FPGA-based Acceleration System for Visual Tracking
[article]
2018
arXiv
pre-print
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At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-time performance when applied in the real scenario. ...
In order to improve the tracking speed and reduce the overall power consumption of visual tracking, this paper proposes a real-time visual tracking algorithm based on DSST(Discriminative Scale Space Tracking ...
[1] completed a dedicated processing chip for high-speed visual tracking which can perform real-time tracking in a simple background. ...
arXiv:1810.05367v2
fatcat:lexptwltfrbbpacat3ppc7bjra
A Real-time Visual Tracking System with Delivery Robot
2017
DEStech Transactions on Computer Science and Engineering
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And moreover, this tracking algorithm must meet the high demand of real-time capability to fulfil the task. ...
In this paper, we proposed a real-time visual tracking system for delivery robot. The RGB-D data are collected for environmental perception. ...
First, this tracking algorithm must be robust, which can easily detect and locate the target, and adapt many complicated environment without loss the target; second, this high demand of real-time capability ...
doi:10.12783/dtcse/aita2016/7554
fatcat:3zw22ulyobfbhfgzzufbswxg7y
Real-time GPS track simplification algorithm for outdoor navigation of visually impaired
2012
Journal of Network and Computer Applications
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This article describes an algorithm for real-time GPS track simplification. ...
The algorithm is part of a low cost and widely accessible Java 2 Mobile Edition (J2ME) application for navigation of visually impaired. ...
track in all transportation modes is more than 90%, and the output file size is reduced by over 30 times. ...
doi:10.1016/j.jnca.2012.02.002
fatcat:ivr4deakkbcwhn2prgiykp6a3a
OnBoard Vision Based Object Tracking Control Stabilization Using PID Controller
2016
The International Journal of Advanced Culture Technology
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the multicopter in real time. ...
Finally based series of experiment results and concluded that the PID control make the tracking system become more stable in real time. ...
and output of the real time implementation is shown in Figure 6 . ...
doi:10.17703/ijact.2016.4.4.81
fatcat:iybhrwyzm5f2tkxlxfxuimaoni
GPU Based Video Object Tracking on PTZ Cameras
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Each algorithmic step is carefully implemented on GPU that further increases the efficiency and decreases execution times. ...
This study extends the scope of accuracy focused VOT research to platform optimized efficient implementations for real-time high resolution video tracking. ...
In this study, we focus on real-time HD video PTZ tracking on cost efficient mobile platforms and provide a framework for real-time GPU implementations of VOT algorithms. ...
doi:10.1109/cvprw.2018.00108
dblp:conf/cvpr/CiglaSA18
fatcat:mt5vvuzpi5f3dgk7qytak7626y
Visual Detection and Tracking System for a Spherical Amphibious Robot
2017
Sensors
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designed and implemented in this study. ...
Given the restrictions presented by the amphibious environment and the small-sized spherical amphibious robot, an industrial camera and vision algorithms using adaptive appearance models were adopted to ...
In comparison with most relevant studies, the proposed system provided higher detection and tracking accuracy by implementing adaptive visual algorithms and introducing improvement methods. ...
doi:10.3390/s17040870
pmid:28420134
pmcid:PMC5424747
fatcat:7pbyvegpjraohobscz3jnza4ty
An Analytical Review on Some Recent Advances in Deep Learning Object Tracking Approaches
2020
International Journal of Engineering Research and
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Visual Object tracking in real world, real time application scenarios is a complex problem, therefore, it remains a most active area of research in computer vision. ...
This paper presents a detailed review on some of the recent advances in Deep Learning Based Visual Object Tracking Approaches from a wide variety of algorithms often cited in research literature. ...
Song., 2018] [10] Described and implemented a
reciprocate learning algorithm to exploit visual attention
within the tracking by detection framework. ...
doi:10.17577/ijertv9is010309
fatcat:e7wny2gl35cuvfxrcfec3zxn7y
An adaptive vision-based autopilot for mini flying machines guidance, navigation and control
2009
Autonomous Robots
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This paper addresses these issues by developing and implementing an adaptive visionbased autopilot for navigation and control of small and mini rotorcraft UAVs. ...
The proposed autopilot includes a Visual Odometer (VO) for navigation in GPS-denied environments and a nonlinear control system for flight control and target tracking. ...
Indeed, we have designed and implemented a vision-based autopilot that includes a real-time vision algorithm for features tracking and image motion integration, an adaptive visual odometer for range and ...
doi:10.1007/s10514-009-9135-x
fatcat:vfazq3whbrfgpcru5zewzzistu
Adaptive Monocular Visual–Inertial SLAM for Real-Time Augmented Reality Applications in Mobile Devices
2017
Sensors
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In this paper, we propose an adaptive monocular visual-inertial SLAM for real-time AR applications in mobile devices. ...
In this paper, we present an adaptive monocular visual-inertial SLAM method for real-time augmented reality applications in mobile devices. ...
In early algorithms, monocular visual SLAM was often implemented as a filter [10] [11] [12] . ...
doi:10.3390/s17112567
pmid:29112143
pmcid:PMC5712971
fatcat:drkrkyugofhyhcxa3eobffiwsy
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
[article]
2017
arXiv
pre-print
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The yielded visual tracker is real-time and also illustrates the state-of-the-art accuracies in the experiment involving two well-adopted benchmarks with more than 100 test videos. ...
Visual tracking is a fundamental problem in computer vision. Recently, some deep-learning-based tracking algorithms have been achieving record-breaking performances. ...
The yielded visual tracker, termed MSDAT, is real-time and achieves the comparable tracking accuracies to the state-of-the-art deep trackers. ...
arXiv:1701.00561v1
fatcat:4lbjm6bimjgxbbwwfmpbzae5im
Real-time Video Quality Assessment for Analog Television Based on Adaptive Fuzzy Membership Function Tuning
2018
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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In addition, Adaptive FIS (Fuzzy Inference System) with membership function tuning was implemented for decision making. This was conducted as an effort to build a reliable real-time VQA. ...
Real-time VQA (Video Quality Assessment) is an important part in the effort to build tracking antenna system especially for analog TV. ...
It is not easy to build real-time VQA that corresponding to subjectivity and diversity of user's visual perceptions. Adaptive FIS algorithm with membership function tuning was used as real-time VQA. ...
doi:10.12928/telkomnika.v16i3.7161
fatcat:tx2h3cz3qve6pbcak5fleeylwe
Robust Visual Multi Target Trackers: A Review
2018
Indonesian Journal of Electrical Engineering and Computer Science
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In the present scenario number of algorithms and methods are used to track the object in the different scene, a robust visual object tracking remains a critical challenge. ...
<p>In this review paper, we address on the state-of-art process with visual object tracking in video surveillance, medical and military applications. ...
INTRODUCTION In computer vision with the real-time visual object, Tracking remains a critical challenge. ...
doi:10.11591/ijeecs.v12.i1.pp7-16
fatcat:322burlzvvgezbucvnhvpg3v2m
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