Tracking Accuracy Evaluation of Electromagnetic Sensor-Based Colonoscope Tracking Method

The traditional centroid tracking method over-relies on the accuracy of segment, which easily lead to loss of underwater moving target. This paper presents an object tracking method based on circular contour extraction, combining region feature and contour feature. Through the correction to circle features, the problem of multiple solutions causing by Hough transform circle detection is avoided. A new motion prediction model is constructed to make up the deficiency that three-order motion prediction model has disadvantage of high dimension and large calculation. The predicted position of object centroid is updated and corrected by circle contour, forming prediction-measurement-updating closed-loop target tracking system. To reduce system processing time, on the premise of the tracking accuracy, a dynamic detection method based on target state prediction model is proposed. The results of contour extraction and underwater moving target experiments demonstrate the effectiveness of the proposed method.

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Towards Tumor Margins Reduction: Tracking Accuracy Evaluation of an MRI-RT System

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2017.06.292 ◽

2017 ◽

Vol 99 (2) ◽

pp. S124-S125

Author(s):

D. Cusumano ◽

L. Boldrini ◽

F. Cellini ◽

S. Teodoli ◽

N. Dinapoli ◽

...

Keyword(s):

Accuracy Evaluation ◽

Tracking Accuracy ◽

Tumor Margins

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A study on an automatic seam tracking system by using an electromagnetic sensor for sheet metal arc welding of butt joints

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture ◽

10.1243/095440502320193030 ◽

2002 ◽

Vol 216 (6) ◽

pp. 911-920 ◽

Cited By ~ 9

Author(s):

B-H You ◽

J-W Kim

Keyword(s):

Sheet Metal ◽

Arc Welding ◽

Tracking System ◽

Weld Line ◽

Welding Process ◽

Seam Tracking ◽

Displacement Sensor ◽

Tracking Accuracy ◽

Metal Arc Welding ◽

Electromagnetic Sensor

Many sensors, such as the vision sensor and the laser displacement sensor, have been developed to automate the arc welding process. However, these sensors have some problems due to the effects of arc light, fumes and spatter. An electromagnetic sensor, which utilizes the generation of an eddy current, was developed for detecting the weld line of a butt joint in which the root gap size was zero. An automatic seam tracking system designed for sheet metal arc welding was constructed with a sensor. Through experiments, it was revealed that the system had an excellent seam tracking accuracy of the order of ±0.2mm.

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Droplet Tracking in Double-Electrode GMAW

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.418-420.1180 ◽

2011 ◽

Vol 418-420 ◽

pp. 1180-1183

Author(s):

Zhen Zhou Wang ◽

Yang Yu ◽

Shu Jun Chen ◽

Yu Ming Zhang

Keyword(s):

Real Time ◽

Gas Metal Arc Welding ◽

Metal Transfer ◽

Least Square ◽

Experimental Results ◽

Original Position ◽

Tracking Accuracy ◽

Tracking Method ◽

Metal Arc Welding ◽

Double Electrode

Controlled metal transfer in gas metal arc welding (GMAW) and its modifications including the double-electrode GMAW implies controllable heat and mass inputs and better assured weld quality. To understand, analyze, and control the metal transfer process, the droplet should be monitored in real time. Due to the fast development and transfer of the droplet, the monitoring speed is a key. A tracking method that takes advantage of results from previous images to speed the processing is advantageous. In this paper, Kalman Filter tracking and Least Square Match tracking algorithms are developed to track a droplet in the innovative double-electrode GMAW after its original position is identified. Experimental results showed that the Kalman Filtering algorithm is not suitable for this application due to the limited life span of each droplet. Instead, the Least Square Match algorithm is effective in tracking a droplet if a universal droplet template can be found and defined. However, there are no universal templates suitable for all the droplets. Hence, a real time template updating and LSM tracking method is proposed to track the droplet effectively. Experimental results verified its tracking accuracy.

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An automated method for the evaluation of the pointing accuracy of sun-tracking devices

10.5194/amt-2016-147 ◽

2016 ◽

Author(s):

Dietmar J. Baumgartner ◽

Werner Pötzi ◽

Heinrich Freislich ◽

Heinz Strutzmann ◽

Astrid M. Veronig ◽

...

Keyword(s):

Solar Radiation ◽

Monitoring System ◽

Automated System ◽

Accuracy Evaluation ◽

Tracking Accuracy ◽

Clear Sky ◽

Automated Method ◽

Pointing Accuracy ◽

Sky Conditions ◽

Tracking Devices

Abstract. The accuracy of solar radiation measurements (for direct and diffuse radiation) depends significantly on the precision of the operational sun-tracking device. Thus rigid targets for instrument performance and operation have been specified for international monitoring networks, such as e.g., the Baseline Surface Radiation Network (BSRN) operating under the auspices of the World Climate Research Program (WCRP). Sun-tracking devices fulfilling these accuracy requirements are available from various instrument manufacturers, however none of the commercially available systems comprises an automatic accuracy control system, allowing platform operators to independently validate the pointing accuracy of sun-tracking sensors during operation. Here we present KSO-STREAMS (KSO-SunTRackEr Accuracy Monitoring System), a fully automated, system independent and cost-effective method for evaluating the pointing accuracy of sun-tracking devices. We detail the monitoring system setup, its design and specifications and results from its application to the sun-tracking system operated at the Austrian RADiation network (ARAD) site Kanzelhöhe Observatory (KSO). Results from an evaluation campaign from March to June 2015 show that the tracking accuracy of the device operated at KSO lies for the vast majority of observations (99.8 %) within BSRN specifications (i.e., 0.1° tracking accuracy). Evaluation of manufacturer specified active tracking accuracies (0.02°), during periods with direct solar radiation exceeding 300 W m−2, shows that these are satisfied for 72.9 % of observations. Tracking accuracies are highest during clear-sky conditions and on days where prevailing clear-sky conditions are interrupted by frontal movement: in these cases we obtain complete fulfillment of BSRN requirements and 76.4 % of observations within manufacturer specified active tracking accuracies. Limitations to tracking surveillance arise during overcast conditions and periods of partial solar limb coverage by clouds. On days with variable cloud-cover 78.1 % (99.9 %) of observations meet active tracking (BSRN) accuracy requirements while for days with prevailing overcast conditions these numbers reduce to 64.3 % (99.5 %), respectively.

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Trajectory Tracking Method of Volleyball Player’s Arm Hitting Image Based on D-P Algorithm

Scientific Programming ◽

10.1155/2021/4848036 ◽

2021 ◽

Vol 2021 ◽

pp. 1-9

Author(s):

Hao Qin

Keyword(s):

Trajectory Tracking ◽

Three Dimensional ◽

Feature Points ◽

Tracking Accuracy ◽

Tracking Method ◽

Feature Extraction Method ◽

Image Tracking ◽

Volleyball Players ◽

Long Time ◽

Tracking Time

Aiming at the problems of poor image tracking effect, low precision, and long time in the process of image tracking of volleyball player’s arm hitting, a volleyball player's arm hitting image tracking method based on D-P algorithm is proposed. This paper analyzes the basic concept, basic principle, and basic equation of D-P algorithm and collects the arm stroke trajectory image of volleyball players under the three-dimensional visual model. Using wavelet multiscale decomposition method, the arm stroke trajectory of volleyball players is filtered, and the edge contour feature points of the arm stroke image of volleyball players are extracted. Using the gray histogram feature extraction method, the gray information of volleyball player's arm hitting trajectory image is enhanced. Combined with pixel adaptive enhancement technology, the key action feature points of volleyball player's arm hitting image trajectory are located. Based on D-P algorithm, the volleyball player's arm hitting image trajectory is adjusted and modified to realize the correct tracking of volleyball player's arm hitting image trajectory. The experimental results show that the trajectory tracking effect of volleyball player's arm hitting image is better, which can effectively improve the tracking accuracy and shorten the tracking time.

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3D Visual Motion Amplitude Tracking Simulation Method for Sports

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/2352096514666210709161646 ◽

2021 ◽

Vol 14 ◽

Author(s):

Ni Zhuo ◽

Anil Sharma

Keyword(s):

Visual Motion ◽

Tracking Error ◽

Current Method ◽

Simulation Method ◽

Experimental Simulation ◽

3D Animation ◽

Tracking Accuracy ◽

Tracking Method ◽

Motion Range ◽

Motion Amplitude

Background: The character motion of 3D animation production is complex, and to solve this problem, motion-pose capture technology is very effective. The workload of character motion control is reduced by this technique, and the animation development is improved. It is used in virtual training grounds and real-time tracking of the motion. The complete contour features cannot be efficiently acquired by the 3D visual motion technique. The 3D visual motion amplitude tracking method in sports is studied in order to improve the training quality of athletes effectively. However, when the current method is used for motion amplitude tracking, the markers in the adjacent monocular sequence motion amplitude images cannot be calculated. Methodology: At this point, there is a problem of a large tracking error of 3D visual motion amplitude. To this end, a 3D amplitude tracking method in sports based on inverse kinematics is proposed. This method locates the marker points that appear in the adjacent monocular sequence motion range and merges it with the rotation angle method to predict the position of the motion range in the image. Results: Obtain the motion amplitude, and 3D visual motion amplitude is outside the optimization area and uses this as a basis to complete the tracking of the 3D visual motion amplitude in sports. Conclusion: Experimental simulation performed in MATLAB proves the high tracking accuracy of the proposed method.

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A Face Tracking Method Based on Camshift and SCKF in Rapid Moving Process

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.668-669.1025 ◽

2014 ◽

Vol 668-669 ◽

pp. 1025-1028

Author(s):

Fu Cheng Cao ◽

Xiao Xue Xing

Keyword(s):

Nonlinear Effect ◽

Face Tracking ◽

Uniform Motion ◽

Square Root ◽

Robust Tracking ◽

Tracking Accuracy ◽

Tracking Method ◽

Camshift Algorithm ◽

Moving Process ◽

Localization And Tracking

Aiming at the problem of face tracking under rapid moving process, a fast and robust tracking method is proposed. The possible position of face detected by the Camshift algorithm in the next frame is predicted by the square-root cubature Kalman filte (SCKF). Then, the localization and tracking of face are got frames by frames. The experimental results show that: the use of SCKF to solve the nonlinear effect caused by non-uniform motion of face and overcome the target loss problem of the linear Kalman algorithm. The proposed method greatly improves the tracking accuracy of face in the process of rapid movement.

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Research on Dynamic Graph Target Tracking Method Fusing the Color Local Entropy

ITM Web of Conferences ◽

10.1051/itmconf/20181702004 ◽

2018 ◽

Vol 17 ◽

pp. 02004

Author(s):

Junchang Zhang ◽

Chenyang Xia ◽

Leili Hu ◽

Yanling Zhou

Keyword(s):

Graph Matching ◽

Graph Cuts ◽

Video Tracking ◽

Local Entropy ◽

Tracking Accuracy ◽

Dynamic Graph ◽

Tracking Method ◽

Candidate Target ◽

Simple Linear Iterative Clustering ◽

Local Gradient

Focusing on the problems of target deformation, occlusion, background interference and rotation, a robust video tracking method is proposed in this paper, which is based on the superpixels and dynamic graph matching. Firstly, to make the superpixels edge fit better and structure tighter, the local gradient feature is fused into the simple linear iterative clustering (SLIC) method. Secondly, the candidate target superpixels set is generated by Graph Cuts and to obtain more accurate foreground superpixels set, the LASVM classification results are fused into the Graph Cuts energy function. Thirdly, in order to make the proposed tracker more robust, the color local entropy is fused into the diagonal elements of the affinity matrix. Experiment results show that the proposed algorithm has strong robustness and better tracking accuracy.

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Universal-Joint Sun Tracking Method and Tracking Device

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.383-390.3605 ◽

2011 ◽

Vol 383-390 ◽

pp. 3605-3609

Author(s):

Xiao Li Xu ◽

Yun Bo Zuo

Keyword(s):

Solar Cell ◽

Manufacturing Cost ◽

The Sun ◽

Joint Movement ◽

Tracking Accuracy ◽

Universal Joint ◽

Rotational Angle ◽

Tracking Method ◽

Direction Error ◽

Tracking Device

In order to enhance the sun tracking accuracy of photovoltaic power generation system and reduce the manufacturing cost of sun tracking devices, a new sun tracking method and corresponding tracking device was presented in this paper. The new method is to get two driving rotational angle parameters by conversing solar azimuth parameter and solar altitude parameter. According to the new parameters, the solar cell panel is driven to rotate as the universal-joint movement in order to track the sun. The new tracking device consists of solar direction monitoring module, parameter calculation module, driving device, direction error detection module, and feedback control module. It can acquire solar direction parameter to complete new angle parameters conversion and it can amend real-time interaction frequency and stride according to the direction error of solar cell panel. The new tracking device has features of high tracking accuracy, small tracking time intervals, simple structures and low manufacturing cost.

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