An Object Detection and Extraction Method Using Stereo Camera

2006 ◽  
Author(s):  
Yasuhiro Mito ◽  
Masakazu Morimoto ◽  
Kensaku Fujii
Keyword(s):  
Object Detection ◽  
Extraction Method ◽  
Stereo Camera

Stereo-camera-based object detection using fuzzy color histograms and a fuzzy classifier with depth and shape estimations

2016 ◽  
Vol 46 ◽  
pp. 753-766 ◽  
Author(s):  
Chia-Feng Juang ◽  
Guo-Cyuan Chen ◽  
Chung-Wei Liang ◽  
Demei Lee
Keyword(s):  
Object Detection ◽  
Fuzzy Classifier ◽  
Stereo Camera ◽  
Color Histograms

scholarly journals Real-Time 3D UAV Pose Estimation by Visualization

Proceedings ◽  
2020 ◽  
Vol 39 (1) ◽  
pp. 18
Author(s):  
Nenchoo ◽  
Tantrairatn
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Indoor Environment ◽  
Target Object ◽  
Outdoor Environment ◽  
Visual Object ◽  
Depth Camera ◽  
Positioning System ◽  
Stereo Camera ◽  
Local Positioning System

This paper presents an estimation of 3D UAV position in real-time condition by using Intel RealSense Depth camera D435i with visual object detection technique as a local positioning system for indoor environment. Nowadays, global positioning system or GPS is able to specify UAV position for outdoor environment. However, for indoor environment GPS hasn’t a capability to determine UAV position. Therefore, Depth stereo camera D435i is proposed to observe on ground to specify UAV position for indoor environment instead of GPS. Using deep learning for object detection to identify target object with depth camera to specifies 2D position of target object. In addition, depth position is estimated by stereo camera and target size. For experiment, Parrot Bebop2 as a target object is detected by using YOLOv3 as a real-time object detection system. However, trained Fully Convolutional Neural Networks (FCNNs) model is considerably significant for object detection, thus the model has been trained for bebop2 only. To conclude, this proposed system is able to specifies 3D position of bebop2 for indoor environment. For future work, this research will be developed and apply for visualized navigation control of drone swarm.

Geometrically inspired MRF for moving object detection from mobile stereo camera

2012 ◽  
Vol 48 (16) ◽  
pp. 993-995 ◽  
Author(s):  
J. Min ◽  
I.-S. Kweon ◽  
H. Kim ◽  
J. Kim
Keyword(s):  
Object Detection ◽  
Moving Object Detection ◽  
Moving Object ◽  
Stereo Camera

Evaluation of the dark field method for large association of spread DNA

1978 ◽  
Vol 36 (2) ◽  
pp. 190-191
Author(s):  
Douglas C. Barker
Keyword(s):  
Electron Microscopy ◽  
Molecular Weight ◽  
Mitochondrial Dna ◽  
Extraction Method ◽  
Field Method ◽  
Dark Field ◽  
Kinetoplast Dna ◽  
Field Electron ◽  
Field Electron Microscopy ◽  
Dark Field Electron

A number of satisfactory methods are available for the electron microscopy of nicleic acids. These methods concentrated on fragments of nuclear, viral and mitochondrial DNA less than 50 megadaltons, on denaturation and heteroduplex mapping (Davies et al 1971) or on the interaction between proteins and DNA (Brack and Delain 1975). Less attention has been paid to the experimental criteria necessary for spreading and visualisation by dark field electron microscopy of large intact issociations of DNA. This communication will report on those criteria in relation to the ultrastructure of the (approx. 1 x 10-14g) DNA component of the kinetoplast from Trypanosomes. An extraction method has been developed to eliminate native endonucleases and nuclear contamination and to isolate the kinetoplast DNA (KDNA) as a compact network of high molecular weight. In collaboration with Dr. Ch. Brack (Basel [nstitute of Immunology), we studied the conditions necessary to prepare this KDNA Tor dark field electron microscopy using the microdrop spreading technique.

High throughput semi-automated extraction method for the creation of a collection from microbial fermentations of fungi and Actinomycetes

Planta Medica ◽  
2008 ◽  
Vol 74 (09) ◽  
Author(s):  
JR Tormo ◽  
N Tabanera ◽  
D Conway ◽  
P Ramos ◽  
A Redondo ◽  
...  
Keyword(s):  
High Throughput ◽  
Extraction Method ◽  
Automated Extraction ◽  
The Creation
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