scholarly journals Detecção de Roubo de Computadores em Laboratório Usando Visão Computacional

2020 ◽  
Author(s):  
Gabriel Andrade Cordeiro ◽  
Giovani Grockotzki ◽  
Itamar Junior de Azevedo ◽  
João Mantovani ◽  
Matheus Henrique da Silva Santos ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Video Analysis ◽  
Region Of Interest ◽  
Background Information ◽  
Laboratory Monitoring ◽  
Exit Door ◽  
Definition Of ◽  
Computer Labs

Computer theft in computer labs causes academic damage to coursesthat require this resource and ends up directly harming students. Inthis context, this paper describes a methodology applied to detectcomputer removal through video analysis in real-time. For eachframe, image processing and computer vision techniques were used,subtracting background information, binarization, segmentationof the region of interest and definition of contours. The case studywas developed at a Brazilian university. For theft detection, it wasconsidered a black computer tower case carried by people leavingthe laboratory. Monitoring is carried out by a camera positioned infront of the lab exit door. The software developed alerts a suspiciousactivity that may indicate a possible computer theft.

Digital Image Zero-Watermarking Algorithm Based on Improved Wavelet Moment

2013 ◽  
Vol 347-350 ◽  
pp. 3232-3236
Author(s):  
Zheng Bao Zhang ◽  
Chao Jia
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Digital Watermarking ◽  
Digital Image ◽  
Image Rotation ◽  
The Real ◽  
Geometric Attacks ◽  
Zero Watermarking ◽  
Local Distortions

Lots of anti-RST attacks watermarking algorithms have been proposed, but few solutions for local geometric attacks, in this paper it proposed a new algorithm combined with the the Wavelet Moment for an anti-geometric attacks. Since wavelet moment was proposed, it is widely used in the field of computer vision, image processing, but the large amount of computation must be improved to be applied to digital watermarking technology so that it can adapt to the real-time detection of digital watermarking. By image rotation, scaling, translation, shear, local distortions, filtering attack operations and so on, these attacks can be seen that the algorithm has good robustness, and the efficiency of watermark detection is relatively high. The experiments show that the algorithm is robustness, greatly accelerate the speed of operation, to unify the robust and efficient.

scholarly journals Combining dielectrophoresis and computer vision for precise and fully automated single-cell handling and analysis

Lab on a Chip ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 4016-4020 ◽  
Author(s):  
Neus Godino ◽  
Felix Pfisterer ◽  
Tobias Gerling ◽  
Christian Guernth-Marschner ◽  
Claus Duschl ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Single Cell ◽  
Real Time ◽  
Active Control ◽  
Microfluidic Channel ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Cell Handling ◽  
Time Image

We employ real-time image processing in the active control of dielectrophoretic actuation to select, isolate and arrange individual cells in a microfluidic channel.

Research of Image Processing Algorithm Based on Region of Interest

2013 ◽  
Vol 798-799 ◽  
pp. 814-817
Author(s):  
Fang Wang
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Visual Attention ◽  
Region Of Interest ◽  
Processing Algorithm ◽  
Human Information Processing ◽  
Visual Attention Model ◽  
Attention Model ◽  
Starting Point ◽  
Image Zooming

With the further development of modern scientific study, it promotes the research of the image based on region of interest. By doing these studies, it satisfies the pressing needs in many fields such as military, production and living areas, etc. meanwhile, it is also the key problem in the fields of computer vision, image processing, artificial intelligence, video communication. Visual attention plays a very important role in the human information processing of the psychological adjustment mechanism. It is a conscious activity which chooses the useful information from large amounts of information. It owns the high efficiency and reliability in the process of human visual perception. Visual attention model, which is based on the visual attention and combined with the computer vision, builds a spatial feature of visual attention architecture. It is helpful not only to find out the visual cognition rule, but also to solve the problem of interested area selection and focus on improving the efficiency of the computer image processing. It has important application value in areas such as image extraction and image zooming. The paper has carried out the deeply study in the interested image region. With the improved visual attention model as a starting point, it combines with graph processing algorithm. And it uses the image extraction algorithm and image zooming algorithm to improve the visual attention model and detect the interested area.

scholarly journals Image processing in real-time computer vision systems using FPGA

2016 ◽  
pp. 1-16
Author(s):  
Alexander Sergeevich Derzhanovsky ◽  
Sergey Mikhailovich Sokolov
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Real Time ◽  
Vision Systems ◽  
Computer Vision Systems

Role of Clustering Techniques in Effective Image Segmentation

2018 ◽  
pp. 128-160
Author(s):  
Bhavneet Kaur ◽  
Meenakshi Sharma
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Segmentation ◽  
Object Detection ◽  
Real Time ◽  
Vision Research ◽  
Medical Equipment ◽  
Additional Advantage ◽  
Clustering Techniques

Image segmentation is gauged as an essential stage of representation in image processing. This process segregates a digitized image into various categorized sections. An additional advantage of distinguishing dissimilar objects can be represented within this state of the art. Numerous image segmentation techniques have been proposed by various researchers, which maintained a smooth and easy timely evaluation. In this chapter, an introduction to image processing along with segmentation techniques, computer vision fundamentals, and its applied applications that will be of worth to the image processing and computer vision research communities has been deeply studied. It aims to interpret the role of various clustering-based image segmentation techniques specifically. Use of the proposed chapter if made in real time can project better outcomes in object detection and recognition, which can then later be applied in numerous applications and devices like in robots, automation, medical equipment, etc. for safety, advancement, and betterment of society.

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