Abstract Aiming at the fast opening and closing speed of GIS isolation/grounding switch, manual observation is more difficult, so it difficult to judge current switch status. This paper proposes an OpenCV-based image identification algorithm identify position movable contact during process isolating thereby judging state switch. system uses Raspberry Pi as main hardware core, server drives CMOS...

This work deals with creation of affordable computer vision based visual art systems with the help of open source solutions found on market. The particular project described in this paper has been created with the help of Arduino board, programmed with Processing and uses some OpenCV features to create photos with long exposure time. With the help of the specially designed software one is able ...

The purpose of this project is to integrate real-time traffic surveillance footage into a virtual reality setting. This can not only help with better projecting where any given car could go, but can also potentially improve driving simulations by giving their 3D environments some real-world traffic, making them more realistic. We are hoping to achieve this goal using primarily OpenCV/OpenGL and...

This paper presents the analysis of Google’s Tesseract OCR for license plate recognition in Brazil. The performance results presented for Tesseract OCR will be compared to market grade OCR products known here as “A” and “B”. This is a necessary measure due to a confidentiality agreement with the company supporting this research. The use of OpenCV is also considered due to limitations inherent t...

As a first step to the instance search task, we employed several existing image retrieval methods in combination (local feature matching, region matching, and global feature matching), according to the type and property of query images. The best run in this approach was ranked 23rd of 42 as regards the average precision result. Keywords; PCA-SURF; Bag of Features; Color histogram; Haar-Wavelet;...

In this paper, we describe a system for video-based 3D reconstruction of dynamic scenes using stereo techniques, with an eye to potential applications in human motion capture. We incorporate into our approach recent research results on stereo matching which make the system efficient and produce good-quality results. The implementation is built on top of Intel’s Open Source Computer Vision Libra...