scholarly journals Object Tracking using Supervised Level_Set Model (SLSM)

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1712-1714
Keyword(s):  
Object Tracking ◽  
Level Set ◽  
Test Results ◽  
Multiple Target ◽  
Two Stage ◽  
Item Order ◽  
Multi Stage ◽  
Level Set Model ◽  
Item Location

An item discovery framework discovers objects in this present reality in an advanced picture or video, in which the article can have a place with any of articles to be specific people, vehicles, and so on. So as to distinguish an article in a picture or video the frameworkneeds couple of parts so as to finish the errand of recognizing an item, an element finder, a theorem and theorem checker.In this work survey of different strategies which are utilized to distinguish an article, limit an item, order an item, extricate highlights, appearance data in pictures and recordings. The remarks are dependent on the considered writing and major problems are likewise recognized significant to the item location. A thought regarding the conceivable answer for multiple class_object identification is likewise exhibited. This work is appropriate for specialists who are learners in this area.. We initially portray the proposed system of two-stage supervised level set model in target following, at that point give summed up multi-stage adaptation for managing multiple-target . Positive decline is utilized to modify the learning after some time, empowering following to proceed under fractional and add up to impediment. Test results in various testing arrangements approve the viability inproposed strategy

scholarly journals Object Tracking using Supervised Level_Set Model (Slsm)

2019 ◽  
Vol 8 (2S3) ◽  
pp. 1181-1183
Keyword(s):  
Object Tracking ◽  
Level Set ◽  
Test Results ◽  
Multiple Target ◽  
Two Stage ◽  
Item Order ◽  
Multi Stage ◽  
Level Set Model ◽  
Item Location

An item discovery framework discovers objects in this present reality in an advanced picture or video, in which the article can have a place with any of articles to be specific people, vehicles, and so on. So as to distinguish an article in a picture or video the framework needs couple of parts so as to finish the errand of recognizing an item, an element finder, a theorem and theorem checker.In this work survey of different strategies which are utilized to distinguish an article, limit an item, order an item, extricate highlights, appearance data in pictures and recordings. The remarks are dependent on the considered writing and major problems are likewise recognized significant to the item location. A thought regarding the conceivable answer for multiple class_object identification is likewise exhibited. This work is appropriate for specialists who are learners in this area.. We initially portray the proposed system of two-stage supervised level set model in target following, at that point give summed up multi-stage adaptation for managing multiple-target . Positive decline is utilized to modify the learning after some time, empowering following to proceed under fractional and add up to impediment. Test results in various testing arrangements approve the viability in proposed strategy.

scholarly journals Object Tracking Using a New Level Set Model

2014 ◽  
Vol 05 (01) ◽  
pp. 17-22
Author(s):  
Nagi H. Al-Ashwal ◽  
Abdulmajid F. Al-Junaid
Keyword(s):  
Object Tracking ◽  
Level Set ◽  
Level Set Model

scholarly journals A Two-Stage Data Association Approach for 3D Multi-Object Tracking

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2894
Author(s):  
Minh-Quan Dao ◽  
Vincent Frémont
Keyword(s):  
Object Detection ◽  
Object Tracking ◽  
Moving Objects ◽  
Data Association ◽  
Autonomous Driving ◽  
Tracking Accuracy ◽  
Two Stage ◽  
Bipartite Matching ◽  
3D Object ◽  
3D Object Detection

Multi-Object Tracking (MOT) is an integral part of any autonomous driving pipelines because it produces trajectories of other moving objects in the scene and predicts their future motion. Thanks to the recent advances in 3D object detection enabled by deep learning, track-by-detection has become the dominant paradigm in 3D MOT. In this paradigm, a MOT system is essentially made of an object detector and a data association algorithm which establishes track-to-detection correspondence. While 3D object detection has been actively researched, association algorithms for 3D MOT has settled at bipartite matching formulated as a Linear Assignment Problem (LAP) and solved by the Hungarian algorithm. In this paper, we adapt a two-stage data association method which was successfully applied to image-based tracking to the 3D setting, thus providing an alternative for data association for 3D MOT. Our method outperforms the baseline using one-stage bipartite matching for data association by achieving 0.587 Average Multi-Object Tracking Accuracy (AMOTA) in NuScenes validation set and 0.365 AMOTA (at level 2) in Waymo test set.

Performance Analysis of the Test Results on a Two-Stage Transonic Fan

1983 ◽  
Vol 105 (1) ◽  
pp. 125-129
Author(s):  
Baoshi Chen ◽  
Tianyi Zhang
Keyword(s):  
Mach Number ◽  
Performance Analysis ◽  
Radial Distribution ◽  
Flow Separation ◽  
High Load ◽  
Test Results ◽  
Two Stage ◽  
Stall Margin ◽  
High Incidence ◽  
Transonic Fan

Test results obtained from a two-stage fan are analysed and the reasons that caused the design performance target not to be attained are presented in this paper. Addition of a partspan shroud on rotor 1 caused higher losses and changed radial distribution of parameters. Modification on the flowpath and chord length of stator 1 resulted in excessively high inlet Mach number and flow separation in the hub region. The high load and high incidence at the hub of rotor 2 caused higher losses and reduced stall margin of the fan.

scholarly journals Generalized optimizations of two-stage forging of micro/meso copper fastener

2018 ◽  
Vol 185 ◽  
pp. 00002
Author(s):  
Shih-Hsien Lin ◽  
Un-Chin Chai ◽  
Gow-Yi Tzou ◽  
Dyi-Cheng Chen
Keyword(s):  
Simulation Analysis ◽  
Effective Strain ◽  
Cold Forging ◽  
Two Stage ◽  
Forming Simulation ◽  
Multi Stage ◽  
Element Simulation ◽  
Die Stress ◽  
Stress Optimization ◽  
Forging Force

Three are generalized simulation optimizations considering the forging force, the die stress, and the dual-goals in two-stage forging of micro/meso copper fastener. Constant shear friction between the dies and workpiece is assumed to perform multi-stage cold forging forming simulation analysis, and the Taguchi method with the finite element simulation has been used for mold-and-dies parameters design simulation optimizations considering the forging force, die stress, and dual-goals. The die stress optimization is used to explore the effects on effective stress, effective strain, velocity field, die stress, forging force, and shape of product. The influence rank to forging process of micro/meso copper fastener for three optimizations can be determined, and the optimal parameters assembly consider die stress can be obtained in this study. It is noted that the punch design innovation can reduce the forging force and die stress.

scholarly journals Development Instruments Through Confirmatory Factor Analysis (CFA) in Appropriate Intensity Assessment

2017 ◽  
Vol 12 (1) ◽  
pp. 13-19
Author(s):  
Ari Saptono
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Three Dimensions ◽  
Likelihood Method ◽  
Test Results ◽  
Validity And Reliability ◽  
Measurement Instruments ◽  
School Students ◽  
Multi Stage ◽  
Confirmatory Factor

The research aims to develop the valid and reliable measurement instruments of entrepreneurship intention in vocational secondary school students. Multi stage random sampling was used as the technique to determine sample (300 respondents). The research method used research and development with confirmatory factor analysis (CFA). Result of confirmatory factor analysis (CFA) at the second order with robust maximum likelihood method shows that valid and reliable instrument with the acquisition value of loading factor is more than 0.5 (> 0,5) and a significance value of t is more than 1,96 (> 1,96). Reliability test results shows that the value of the combined construct reliability (CR) of 0.97and a variance value extract (VE) to 0.52 is greater than the limit of acceptance CR ? 0.70 and VE ? 0.50. The conclusion of the measurement instruments of entrepreneurship intention with three dimensions and 31 items met the standards of validity and reliability in accordance with the instrument development process.

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