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This paper presents an implementation of a stereo system using image processing techniques in order to determine the distance to an object from a pair of images. Starting from this, the algorithm calculates the disparity image. The distance to an object is determined by using filters, making a histogram of the disparity image and interpolating. The entire algorithm has been implemented on the BeagleBoneBlack...
This paper concerns with designing a wearable system for prosopagnosia rehabilitation. The system performs a real-time face recognition application that runs on an autonomous embedded platform built on an eyewear. The prototype involves a single system-on-module such as Raspberry Pi Compute Module and the Raspberry Pi Camera attached to a custom designed PCB with HDMI output, power supply input, Raspberry...
This study aims to create a vision system for vehicles that would prevent frontal collisions. The system is more of an aid to the driver, giving notifications whenever there is a possibility of collision. With the use of a camera, this system is able to get series of images that would undergo processes of detection and distance calculations. And by utilizing OpenCV, detection of vehicles through Haar...
Now-a-days as there is prohibitive demand for agricultural industry, effective growth and improved yield of fruit is necessary and important. For this purpose farmers need manual monitoring of fruits from harvest till its progress period. But manual monitoring will not give satisfactory result all the times and they always need satisfactory advice from expert. So it requires proposing an efficient...
Authentication is the process of identifying and verifying someone, who it claims to be known as user. The increasing popularity of smart mobile phones provides user to store personal data and user information. It is necessary to ensure the confidential access of the mobile phone to its user. Currently, Face Unlock is the biometric user authenticating system widely available in mobile phone. However,...
Object detection has been attracting much interest due to the wide spectrum of applications that use it. Object detection technology has been driven by an increasing processing power available in software and hardware. In this work we present a developed application for multiple objects detection based on OpenCV libraries. The complexity-related aspects that were considered in the object detection...
It is obvious that the characters are illegible and the printing is rough on the package of fake cigarettes compared to genuine ones. According to the differences of comparison, we can make a two-class classifier to conduct cigarette authentication. in this paper, we firstly both extract morphological features of fake and genuine cigarettes and then use them as training sample sets to train a two-class...
Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified AdaBoost algorithm...
Vehicle classification is a hard task in ITS. A real-time vehicle classification method based on eigenface is proposed, it includes two main steps: training and classification. In the training step, first, using the time average image approach to obtain and update the background model, and then, using the background difference approach to detect and extract the outline of a moving vehicle, furthermore...
This paper describes and deduces the theory of Haar-like features, Integral image and AdaBoost algorithm, which were proposed by Paul Viola, and then researches its improvement. We combine Microsoft Visual C++6.0 with OpenCV Function library to develop the software, and achieve the function of real-time face detection. According to experimental results, we can conclude that the improved algorithm...
This paper presents a method of insect recognition using computer vision technology. First, we extracted fourteen features from images of some species of insects. These features are rectangularity, elongation, roundness, eccentricity, sphericity, lobation, compactness and seven Hu moment invariants. Second, a machine learning algorithm named Random Trees was employed, to play a role of a classifier...
This paper describes the basic principles that using adaboost arithmetic to achieve face detection, through OPENCV software, selects the expansion of the harr-like characteristics and achieves the training of face detection classifier. Finally, we analyze how the number of the classifiers affects the results of the experiments, and then we give a more appropriate general size for the samples after...
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