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Over the last four years the Blockly team has learned many lessons which are applicable to block-based programming in general. The following are a collection of ten mistakes we have made, or mistakes commonly made by others. Each issue is presented as noncontroversial folk knowledge without supporting data.
The rapid converging of big data and IoT (Internet of Things) technologies provides more opportunities in the area of road traffic applications. In this paper, we discuss a timeline visualization tool which enables us to better understand of traffic behaviors from road traffic big data.
This paper presents a new level set tracking method for the tracking of non-rigid objects in videos. The main idea is to introduce a new probabilistic model to classify the background and object more robustly, which is then encoded as a new term for the energy function for solving the level set problem. Also, we propose to use bounding box of the contour as a shape prior, which simplifies the contour...
In the field of undersea research, underwater vehicles usually carry camera systems for recording. The captured image or video often has two undesired characteristics: color distortion and low visibility. This is because that the light is exponentially attenuated while penetrating through water. Furthermore, the quality of attenuation is associated with the wavelength of spectrum. This paper simplifies...
Poor colour rendering characteristic of a low cost camera results in poor colour recognition, especially with images taken under non-white illumination. A simplified colour calibration process for a digital web cam to be used for indoor illuminance measurement, enabling automatic, realtime, simultaneous measurement of illuminance of an indoor space at multi-locations based on its video image is proposed...
Object tracking is a challenging real world problem for traffic, crime scenes, sports, etc. A feature extraction method, named as the local rhombus pattern (LRP) is proposed in this work, and it is different from the conventional local binary pattern as it extracts the local relationship of neighboring pixels itself instead of local relationship with the center pixel. The proposed method is combined...
As one of the basic properties of image, texture undoubtedly affect the image saliency. We introduce a texture contrast based salient region detection method, which first divide an input image into several nearly uniform super pixels, then analyze the texture feature and calculate the texture differences between regions to detect salient region. In order to obtain a better saliency map, we also optimize...
Resource exhaustion attacks or denial of service attacks (DoS) have emerged as a major way to compromise the availability of servers and interrupt legitimate online services. IP trace back refers to the problem of identifying the source of such attacks. Packet marking is a general technique to trace back attackers. The main idea in packet marking is to insert some trace back data in each packet. The...
This article presents a study on the benefits offered by Coloured Petri Nets in capturing and separating permanent and temporary behavioural information and on the systematic support they hereby provide to model-based design and testing of cyber-physical systems. In particular, it illustrates the application of CPN modelling to capture the behaviour of cooperative mobile robots and highlights their...
In this paper, a region-based moving object detection based on hu moments is concerned. Firstly, the feasibility analysis of hu moments in moving object detection is performed. Then a model of hu moments in moving object detection is presented and the performances are evaluated. The experiment results show that the hu moments can eliminate the large amount of noise caused by traditional Single Gaussian...
Today, there are typically two main approaches for dehazing, that is, enhancing images taken in hazy or foggy conditions. The first method is based on general image enhancement techniques where algorithms such as histogram equalization or Retinex are often used. The second one, uses an image restoration approach through the building of a haze physical model. In this paper, we make the dehazing task...
Human action recognition system is fundamental of human activity and behavior recognition, especially for video analysis technologies. In this paper, we introduce an improvement method for human action recognition proposed by P.Chawalitsittikul et al. The actions from RGBD multi-views, taken from cameras at different static-viewpoints in the overlapping Area of Interest, are fused at high-level decision...
Fast foreground extraction is an important and challenging problem. Although GrabCut can perform well in foreground extraction, the average accuracy is not satisfactory, and more importantly, its computational cost is large. In this paper, we propose a fast interactive foreground extraction based on superpixel GrabCut and matting. Specifically, we use a superpixel method to process images in order...
This paper presents a patch-based synthesis framework for lightfield image editing. The core of the proposed method builds upon a patch-based optimization approach. The main contribution of the paper is to extend the versatile patch-based image editing framework to 4D lightfield images and enable many editing applications for them. Specifically, the paper introduces a novel 4D lightfield patch consistency...
In this paper, we proposed a holographic panorama display system. The presented scheme uses panorama technology display a holography images on the HoloAD platform. We adopt color correction method to perform image pre-processing and then find the feature points of the input image and match with each other. Finally, images will be blent a panoramic image and then be displayed on HoloAD platform.
The low-level feature, such as Local Directional Pattern (LDP) was used to describe textures and shapes in the image. The advantage of the LDP feature is its robustness under random noise and illumination/light changes. This paper proposed a new approach to classifying and recognizing types of clothing by using Speeded-Up Robust Features (SURF) and Local Directional Pattern (LDP) based on Bag of Features...
The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the “Politehnica” University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching...
This paper presents a new algorithm for colorizing gray scale natural still images. The algorithm uses artificial neural network (ANN) to predict the low frequency discrete cosine transform (DCT) components of the RGB channels. A set of natural color images are used to train three ANNs. The trained networks estimates the RGB layers of the gray scale image that best match a set of training colored...
In this paper, we propose a three-dimensional gesture interactive system design of home automation for physically handicapped people. In order to provide a convenient and comfortable environment, we design a finger and hand gesture user interface for physically handicapped people based on stereo cameras to achieve remote control and gesture recognition system. We use stereo camera to capture stereo...
Oxy-hemoglobin and deoxy-hemoglobin, main blood chromatophores flowing through the arteries and veins, respectively, reflect sunlight differently. The biggest difference is at a specific wavelength in the visible spectrum. The amount of blood in the arteries varies during cardiac activity. As a result, the skin color changes, but its limits cannot be noticed in heart cycle. The authors present an...
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