Siamese Regression Tracking with Reinforced Template Updating

2020 ◽  
pp. 1-1
Author(s):  
Fei Zhao ◽  
Ting Zhang ◽  
Yibing Song ◽  
Ming Tang ◽  
Xiaobo Wang ◽  
...  
Keyword(s):  
Template Updating

Template-Updating Algorithm Based on Optical Flow Mapping in Object Tracking

2020 ◽  
Vol 57 (22) ◽  
pp. 221507
Author(s):  
张静 Zhang Jing ◽  
郝志晖 Hao Zhihui ◽  
刘婧 Liu Jing
Keyword(s):  
Optical Flow ◽  
Object Tracking ◽  
Flow Mapping ◽  
Template Updating

scholarly journals Score optimization and template updating in a biometric technique for authentication in mobiles based on gestures

2011 ◽  
Vol 84 (11) ◽  
pp. 2013-2021 ◽  
Author(s):  
J. Guerra-Casanova ◽  
C. Sánchez- Ávila ◽  
A. de Santos Sierra ◽  
G. Bailador del Pozo
Keyword(s):  
Template Updating

Robust fragments-based tracking with hue detecting-based template updating

2013 ◽  
Vol 32 (5) ◽  
pp. 1261-1264
Author(s):  
Xiao-hua WANG ◽  
Jong-hua TENG ◽  
Chun-hui ZHAO
Keyword(s):  
Template Updating

Incremental template updating for face recognition in home environments

2010 ◽  
Vol 43 (8) ◽  
pp. 2891-2903 ◽  
Author(s):  
Annalisa Franco ◽  
Dario Maio ◽  
Davide Maltoni
Keyword(s):  
Face Recognition ◽  
Home Environments ◽  
Template Updating

Template Matching Based on Polar Coordinate

2012 ◽  
Vol 524-527 ◽  
pp. 3774-3777
Author(s):  
Xu Juan Miao ◽  
Xiao Fei Li
Keyword(s):  
Template Matching ◽  
Tracking System ◽  
Criterion Function ◽  
Matching Criterion ◽  
Matching Algorithm ◽  
Tracking Process ◽  
Long Time ◽  
Polar Coordinate ◽  
Simulation Results ◽  
Template Updating

A new template matching algorithm based on polar coordinate is proposed to improve the performance of the tracking system. The shape of the matching template is round, and the pixels in the template and the matching area are arranged into circle, which can ensure the rotation invariance of the method. Some differential matching information is added into the matching criterion function, which makes the method have higher recognition precision. In the long time target tracking process, template updating operation is adopted to avoid losing the target. Simulation results prove that the method can be applied in the TV tracking system. Using the same controller, the method has better tracking performance.

scholarly journals Siamese Tracking with Adaptive Template-Updating Strategy

2019 ◽  
Vol 9 (18) ◽  
pp. 3725 ◽  
Author(s):  
Zheng Xu ◽  
Haibo Luo ◽  
Bin Hui ◽  
Zheng Chang ◽  
Moran Ju
Keyword(s):  
State Of The Art ◽  
Contour Detection ◽  
Vehicle Tracking ◽  
Deformation Condition ◽  
Tracking Accuracy ◽  
Start Up ◽  
Tracking Process ◽  
Template Update ◽  
Network Experiment ◽  
Template Updating

Recently, we combined a contour-detection network and a fully convolutional Siamese tracking network to initialize a new start-up of vehicle tracking by clicking on the target, generating a contour proposal template instead of using a fixed bounding box. Tests on the OTB100 and Defense Advanced Research Projects Agency (DARPA) datasets proved that our method outperformed the state of the art and effectively solved the partial-occlusion problem. However, the current Siamese tracking method uses the target in the first frame as a template during the whole tracking period, and leads to the failed tracking of target deformation. In this paper, we propose a new template-update method and reconstruct the whole tracking process with a template-updating module. To be specific, the innovative adaptive template-updating module is comprised of a neural contour-detection network and a target-detection network. Experiment results on the DARPA dataset prove that our new tracking algorithm with the template-updating strategy prominently improved tracking accuracy regarding the deformation condition.

scholarly journals Vision-based transverse vibration displacement measurement of hoisting vertical ropes in mine hoists

2021 ◽  
Vol 13 (7) ◽  
pp. 168781402110330
Author(s):  
Ganggang Wu ◽  
Xingming Xiao ◽  
Chi Ma ◽  
Yuqiang Jiang
Keyword(s):  
Digital Image ◽  
Transverse Vibration ◽  
Image Correlation ◽  
Displacement Sensor ◽  
Vibration Displacement ◽  
Displacement Threshold ◽  
Measurement Results ◽  
Template Updating ◽  
Mine Hoist ◽  
Good Agreement

At present, there is no appropriate way to measure the transverse vibration response of moving hoisting vertical rope in hoist. Therefore, a vision-based measurement method combining the digital image correlation (DIC) and digital image processing (DIP) algorithms is proposed in this paper. In this method, a reference line perpendicular to the vertical ropes is added in image sequence by DIP algorithm to form some virtual cross targets, which makes the improved DIC algorithm with adaptive template updating (ATU) rule can track the moving hoisting vertical rope without any labels. Then for distinguishing all ropes in the measuring area, a displacement threshold is set to locate the current measured rope and exclude the other ropes. The transverse vibration displacements of the hoisting vertical rope in an actual mine hoist was measured in three background situations, verifying the feasibility of the proposed method. Moreover, in a laboratory artificial vibration test, the measurement results from the proposed vision method and a laser displacement sensor yielded a very good agreement. The two experimental results indicate that it is fairly reasonable and effective to measure the transverse vibration displacements of hoisting vertical ropes.

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