Motion compensation and object detection for neuromorphic camera

2021 ◽  
Author(s):  
Yuxin Wan ◽  
Rong Fei ◽  
Yu Tang ◽  
Xueru Bai ◽  
Guo Xie ◽  
...  
Keyword(s):  
Object Detection ◽  
Motion Compensation

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

A High Performance and Low Bandwidth Multi-Standard Motion Compensation Design for HD Video Decoder

2010 ◽  
Vol E93-C (3) ◽  
pp. 253-260 ◽  
Author(s):  
Xianmin CHEN ◽  
Peilin LIU ◽  
Dajiang ZHOU ◽  
Jiayi ZHU ◽  
Xingguang PAN ◽  
...  
Keyword(s):  
Motion Compensation ◽  
High Performance ◽  
Video Decoder ◽  
Compensation Design
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