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In computer vision and digital image processing, edge detection is a very important process that enables capture of the meaning of objects within the image, between which are: discontinuities, geometry and physical characteristics of the object. However, it is known that the application of image processing and video have a high computational cost, because it is required process a large amount of data...
The rating fraud in online e-commerce stores targets at receiving large revenues through boosting the popularity of selected items with fake ratings. The challenges of detecting rating frauds come from discovering small scale abnormal activities in a large amount of data and detecting frauds in a time-critical manner from online rating streams. This paper presents a real-time visual analytics system...
Big Data is often referred to as the 3Vs: Volume, Velocity and Variety. A 4th V (validity) was introduced to address the quality dimension. Poor data quality can be costly, lead to breaks in processes and invalidate the company's efforts on regulatory compliance. In order to process data streams in real time, a new technology called CEP (complex event processing) was developed. In France, the current...
Image cloning which could copy the source image and “paste“ it into the target image seamlessly is one of an important digital image manipulation technique. Traditional methods to cope with this problem were to analyze image information in gradient domain according to solving Poisson equations. As a result, existing methods need high computational cost and memory usage which hinder them from real-time...
The paper is devoted to the problem of information capacity of human-computer interface. The author suggests the new method of calculation for radial basis functions. This method could significantly decrease complexity of calculations. New type of blending functions - blending functions of orthogonal basis is offered. These suggestions allow constructing the model of complex 3D objects in a real time...
In this paper, a novel method for solving the registration of point clouds from Kinect is proposed. The proposed method, which requires neither initializations nor iterations, is totally different from the ICP algorithm. The basic idea of this method is to use the congruent spheres centered at the corresponding points as guidance, and then search for an increasing number of corresponding points. Since...
Moving objects can be recognized through detection systems that use computer vision as it passes in front of a digital camera. However, a major challenge is to achieve recognition in real time, and to aid in visual analysis, a hardware architecture in FPGA (Field Programmable Gate Arrays) could be used for video processing focusing on the detection of moving objects using the background subtraction...
Human computer interaction (HCI) is a classic topic, and hand gesture is one of the most natural languages, so the key point in human computer interaction is hand gesture recognition. A skin color model based on Hue is utilized to detect skin color regions like hands. To distinguish the face and hand, a simple and fast hand segmentation algorithm is developed. Moreover, we use the least square method...
Color segmentation is a preliminary step in many application computer vision systems today, as the detection of human movement, recognition of road traffic signs and video intelligent. Detection stage performance is therefore closely linked to the results obtained from the color segmentation. Detection and recognition automatic road traffic signs are applied in the color spaces RGB, HSV, and HSI....
A critical issue in autonomous vehicle navigation and advanced driver assistance systems (ADAS) is the accurate real-time detection of traffic lights. Typically, vision-based sensors are used to detect the traffic light. However, the detection of traffic lights using computer vision, image processing, and learning algorithms is not trivial. The challenges include appearance variations, illumination...
Assistive robots can improve the well-being of disabled or frail human users by reducing the burden that activities of daily living impose on them. To enable personalised assistance, such robots benefit from building a user-specific model, so that the assistance is customised to the particular set of user abilities. In this paper, we present an end-to-end approach for home-environment assistive humanoid...
Positive environmental emotion feedback is important to influence the brain and behaviors. By measuring emotional signals and providing affective neurofeedback, people can be better aware of their emotional state in real time. However, such direct mapping does not necessarily motivate people's emotion regulation effort. We introduce two levels of emotion feedback: an augmentation level that indicates...
This paper presents a novel point-cloud descriptor for robust and real-time tracking of multiple objects without any object knowledge. Following with the framework of incremental model-free multiple object tracking from our previous work [5][7][6], 6 DoF pose of each object is firstly estimated with input point-cloud data which is then segmented according to the estimated objects, and incremental...
Demand and need in public place security has been raised in recent years. There is a wide scope of work to make a full automated real time video surveillance system to make a public place much safe and secure. The outcome of the CCTV and other digital surveillance can be enhanced by using real time foreground segmentation and occlusion handling technique. The outcome is used to analyse the suspicious...
The existing low-light enhancement methods provide better enhancement results, and it cannot be implemented on the real-time processing due to the computational load. Also, these methods generate the unnatural artifacts such as noise amplification, color distortion and saturation problem. To solve this problem, this paper presents a fast adaptive binning method using local amplification ratio map...
This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR)...
Image Histogram is useful in wide range of applications, it shows the image intensity distribution which is used in many image processing techniques. The processing time is very critical in real time applications, so the optimized and robust techniques are preferred. This paper is discussing a simple method for calculating histogram of the image with sampled Histogram which is similar to the histogram...
As a general rule, each user must provide thetool applied with particular values of its input parameters. Aninexperienced user may hardly figure out their values and thetool developer must define the default values in order to helpher/him. We present an approach to solve the problem with thehelp of multi-criteria optimization that is new in this formulation. We demonstrate our approach in closer details...
This paper proposes a visual approach based on a RGB/HSV tag to precise and autonomous landing of unmanned aerial vehicles (UAV). The proposed tag is correctly identified by an algorithm divided in four stages: hue filtering, clustering, matching and center location. The first stage is based on fuzzy matching and highlights the pixels with similar colors to the searched pattern, while ignores the...
Background modeling in fast changing scenarios is a challenging task due to unexpected events like sudden illumination changes, reflections, and shadows, which can strongly affect the accuracy of the foreground detection. In this paper, we describe a real-time and effective background modeling approach, called FAFEX, that can deal with global and rapid changes in the scene background. The method is...
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