scholarly journals Stationary object detection in forward scattering radar

2015 ◽  
Author(s):  
R.S.A. Raja Abdullah ◽  
A.M. Ali ◽  
N.E.A. Rashid
Keyword(s):  
Object Detection ◽  
Forward Scattering ◽  
Stationary Object

scholarly journals Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection

2015 ◽  
Vol 22 (12) ◽  
pp. 2368-2372 ◽  
Author(s):  
Diego Ortego ◽  
Juan C. SanMiguel ◽  
Jose M. Martinez
Keyword(s):  
Change Detection ◽  
Object Detection ◽  
Temporal Change ◽  
Stationary Object ◽  
Spatio Temporal

scholarly journals Illumination invariant stationary object detection

2013 ◽  
Vol 7 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Waqas Hassan ◽  
Philip Birch ◽  
Bhargav Mitra ◽  
Nagachetan Bangalore ◽  
Rupert Young ◽  
...  
Keyword(s):  
Object Detection ◽  
Stationary Object ◽  
Illumination Invariant

Automatic accounting of Baikal diatomic algae: approaches and prospects

2019 ◽  
pp. 295-299
Author(s):  
Кonstantin А. Elshin ◽  
Еlena I. Molchanova ◽  
Мarina V. Usoltseva ◽  
Yelena V. Likhoshway
Keyword(s):  
Object Detection ◽  
Loss Function ◽  
Classification Accuracy ◽  
Diatom Species ◽  
Bounding Box ◽  
Synedra Acus ◽  
And Training

Using the TensorFlow Object Detection API, an approach to identifying and registering Baikal diatom species Synedra acus subsp. radians has been tested. As a result, a set of images was formed and training was conducted. It is shown that аfter 15000 training iterations, the total value of the loss function was obtained equal to 0,04. At the same time, the classification accuracy is equal to 95%, and the accuracy of construction of the bounding box is also equal to 95%.

Object Detection in Cluttered Range Images Using Edgel Geometry

2010 ◽  
Vol 130 (9) ◽  
pp. 1572-1580
Author(s):  
Dipankar Das ◽  
Yoshinori Kobayashi ◽  
Yoshinori Kuno
Keyword(s):  
Object Detection ◽  
Range Images
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