OPTICS-Based Template Matching for Vision Sensor-Based Shoe Detection in Human–Robot Coexisting Environments

2019 ◽  
Vol 68 (11) ◽  
pp. 4276-4284 ◽  
Author(s):  
Pritam Paral ◽  
Amitava Chatterjee ◽  
Anjan Rakshit
Keyword(s):  
Template Matching ◽  
Vision Sensor

Study on Weld Seam Modeling for Remote Welding

2013 ◽  
Vol 401-403 ◽  
pp. 895-898
Author(s):  
Sheng Gao ◽  
Yu Wang
Keyword(s):  
Virtual Environment ◽  
Template Matching ◽  
Weld Seam ◽  
Spline Interpolation ◽  
Continuous Model ◽  
Vision Sensor ◽  
Laser Vision Sensor ◽  
Laser Vision ◽  
Operative Difficulty ◽  
Remote Welding

This paper studies the dynamic modeling of weld seam by using the laser vision sensor in virtual environment (VE). By introducing virtual guide (VG), lowering operative difficulty and showing high security can be obtained. Template matching is used to recognize remote weld seam, and the uniform contour of V is defined to represent the features of remote seam. Cubic spline interpolation is employed to construct the continuous model of the seam.

scholarly journals Reliable Template Matching for Image Detection in Vision Sensor Systems

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8176
Author(s):  
Youngmo Han
Keyword(s):  
Template Matching ◽  
Closed Form Solution ◽  
Detection Algorithm ◽  
Ease Of Use ◽  
Sensor System ◽  
Size Difference ◽  
Vision Sensor ◽  
Projection Model ◽  
Image Detection ◽  
Additional Information

Template matching is a simple image detection algorithm that can easily detect different types of objects just by changing the template without tedious training procedures. Despite these advantages, template matching is not currently widely used. This is because traditional template matching is not very reliable for images that differ from the template. The reliability of template matching can be improved by using additional information (depths for the template) available from the vision sensor system. Methods of obtaining the depth of a template using stereo vision or a few (two or more) template images or a short template video via mono vision are well known in the vision literature and have been commercialized. In this strategy, this paper proposes a template matching vision sensor system that can easily detect various types of objects without prior training. To this end, by using the additional information provided by the vision sensor system, we study a method to increase the reliability of template matching, even when there is a difference in the 3D direction and size between the template and the image. Template images obtained through the vision sensor provide a depth template. Using this depth template, it is possible to predict the change of the image according to the difference in the 3D direction and the size of the object. Using the predicted changes in these images, the template is calibrated close to the given image, and then template matching is performed. For ease of use, the algorithm is proposed as a closed form solution that avoids tedious recursion or training processes. For wider application and more accurate results, the proposed method considers the 3D direction and size difference in the perspective projection model and the general 3D rotation model.

Development of Non-contact Respiratory Monitoring System for Newborn Using a FG Vision Sensor

2010 ◽  
Vol 130 (9) ◽  
pp. 1581-1587 ◽  
Author(s):  
Yoshiyuki Kurami ◽  
Yushi Itoh ◽  
Michiya Natori ◽  
Kazuo Ohzeki ◽  
Yoshimitsu Aoki
Keyword(s):  
Monitoring System ◽  
Respiratory Monitoring ◽  
Vision Sensor

Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman
Keyword(s):  
Target Tracking ◽  
Vision Sensor ◽  
Multi Target Tracking ◽  
Event Based
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