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Automatic parking systems have significant effects on intelligent transport systems (ITS) and have been extensively researched. However, most existing vision-based automatic parking slot detection methods cannot obtain the desired results due to variation in light intensity or complex obstacle conditions. Besides, most previous parking slot detection methods only consider the target position occupied...
In this paper, we propose a real-time detection algorithm using a MCT AdaBoost classifier which detects two-wheeler in a blind spot. The proposed algorithm uses a cascade classifier generated by AdaBoost learning based on the MCT feature vector. The MCT AdaBoost classifier is composed of weak classifiers as many as the number of pixels of the detection window, and each pixel becomes a weak classifier...
A novel holographic-based sensing system for the determination of aerosol particle number concentrations is presented. A model was designed to support both the development of a new counting algorithm and the conception of a measurement setup.
Compton Scatter Imaging is a promising approach in imaging science. Since it employs scattered radiation that is otherwise rejected, it is claimed to improve the sensitivity of current radiation-based imaging systems. The Radon transform on V-lines models a Compton Camera and its inversion through filtered back-projection leads to an efficient way to reconstruct the density of a radiotracer. Recently,...
The Compact Muon Solenoid (CMS) experiment at CERN is scheduled for a major upgrade in the next decade in order to meet the demands of the new High Luminosity Large Hadron Collider. Amongst others, a new tracking system is under development including an outer tracker capable of rejecting low transverse momentum particles by looking at the coincidences of hits (stubs) in two closely spaced sensor layers...
As the usage areas of the images increase, the functions of various image editing software are increasing. Easy-to-use software has caused the images to be tampered with easily. Many Copy-Move Forgery Detection (CMFD) algorithms have been developed against these attacks. In literature CMFD methods are divided into block based and keypoint based methods. In this paper, recent works in keypoint based...
Every human have different attributes and behaviors. In our life, many people who often lie in everything. The lie is obliged to build understanding on others, then the understanding it establishes is wrong. Indicator to knowing people is lie or not by looking at pupils, because according to the science of psychology, pupils will be dilated when the person is in a state of depression, including when...
This article describes a completely new, fully automatic line detector algorithm that takes advantage of look-up tables to recognize and fit straight line patterns. The algorithm first recognizes any possible 4×4 pixel line patterns among the binary edge pixels and then uses several small look up tables to decide whether the connected patterns form a line or not. It is designed for real time processing...
We present a mobile vehicle classification technique achieved by tracking two vehicle based Points of Interest (PoI) in multiple filter configurations to compose a vehicle specific 3D geometry. Using high fidelity physics based simulation we demonstrate the capability to classify the 3D geometries in the presence of noise by extracting vector magnitudes and angles as features. Additionally, we investigate...
Automatic blobs detection constitutes a basic but difficult problem. In this work a new fast blobs detection technique based on a scale-space representation of the original image, is proposed. The scale-space representation is constructed by using a new simplified form of the Fast Radial Symmetry Transform to precisely detect the essential blobs. From the experiments we have conducted, the proposed...
This paper mainly concerns about the binary hypothesis testing problems with unknown parameters in null hypothesis and alternative hypothesis, where the prior for unknown parameters is not completely known, but is assumed to belong to an ∊-contamination class. We develop a method that decides between null hypothesis and alternative hypothesis reliably. Furthermore, when it decides in favor of null...
Corner-like features are important in computer vision problems such as object matching, tracking, recognition, and retrieval. Most corner detectors operate in the pixel domain, which means that they require image or video to be fully decoded and reconstructed before detection can start. In this paper we describe a method for generating corner proposals from compressed HEVC bitstreams without full...
In this paper we propose a technique to deal with unknown random jitter in a band-limited Gaussian channel. The jitter caused by the deviation or displacement of signal pulses affects the performance of the communication system. We show that a sampling set as small as twice the baud rate is enough for good detection performance. Detection is done by means of a suboptimal algorithm with polynomial...
We propose a stable and fast reconstruction technique for parallel-beam (PB) tomographic X-Ray imaging, relying on the discrete pseudo-polar (PP) Radon and PP Fourier transforms. Our main contribution is a resampling method, based on modern sampling theory, that transforms the PB measurements to a PP grid. The resampling process is both fast and accurate, and in addition, simultaneously denoises the...
This paper present a query-by-example word spotting in handwritten Arabic documents, based on Harris detector and Scale Invariant Feature Transform (SIFT), without using any text word or line segmentation approach, because any errors affect to the subsequent word representations. First, the interest points are automatically extracted from the images using Harris detector, then, we use SIFT descriptor...
Edited film alignment is the post-production process of finding small parts of unedited footage that temporally and spatially match an edited film. The huge amount of data to be processed makes significant downsampling of the videos essential in real-life applications. Simultaneously, professional users demand that the task be achieved with frame and pixel-level accuracy. We propose a novel selective...
Visualization, classification and precise analysis of human embryo is an important prerequisite for fertility clinic. This work reports techniques to improve recognition of embryo features such as circular shape, width of edges of the detected cells, alignment of 4-cell and 8-cell structures of the blastomere, etc leading to the goal of blastomere segmentation. Paper describes a method for the detection...
One application of digital watermarking is multimedia copyright protection. This paper address the blind watermark detection problem that copyright protection belongs to this field. Since watermark detection process can be modeled as a statistical decision rule, selecting appropriate statistical model plays an important role. This work presents a novel additive watermark detector for contourlet domain...
This paper presents an analytical comparison of active and passive receiver models in diffusive molecular communication. In the active model, molecules are absorbed when they collide with the receiver surface. In the passive model, the receiver is a virtual boundary that does not affect molecule behavior. Two approaches are presented to derive transforms between the receiver signals. As an example,...
To solve the problem that there is few invariant features, which can be extracted from both images, to be matched for large changes of view, an efficient invariant image matching approach is presented. The proposed approach consists of two main steps. In the first step, we use the multi-resolution strategy to detect maximally stable extremal regions (MSERs) and obtain the geometric transformation...
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