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This paper presents a new computer vision design flow for real time detection and recognition of traffic signs. Autonomous traffic sign detection can play a crucial role in many applications related to transportation safety and geographical information systems. The challenges that need to be addressed include the necessity for robust and accurate detection as well as the high computational requirements...
Because of the fact that Unigraphics(UG) is employed extensively as 3D molding software, integration of RCS calculation into UG will provide more advantages especially for both target shape design and it's stealth performance analysis, but the edge extraction and the edge scattering evaluation are complex in the traditional method. This paper proposes a simple method for edge scattering evaluation...
We derive demand-bound functions for mixed-criticality sporadic tasks, and use these to determine EDF-schedulability. Tasks have different demand-bound functions for each criticality mode. We show how to shift execution demand from high-to low-criticality mode by tuning the relative deadlines. This allows us to shape the demand characteristics of each task. We propose an efficient algorithm for tuning...
In recent years, intelligent traffic system (ITS) and telematics system have become a popular issue for traffic safety, convenience and efficiency. The real-time and historical traffic and other roadside information is very helpful information and can be analyzed to give good telematics services and traffic controlling, such as navigation, traffic flow, weather, traffic prediction and so on. This...
Developing traffic signal control methods is considered as the most important way to improve the traffic efficiency of modern roundabouts. This paper applies a traffic signal controller with two fuzzy layers for signalizing roundabouts. The outer layer of the controller computes urgency degrees of all the phase subsets and then activates the most urgent subset. This mechanism helps to instantly respond...
Interactive space deformation is a powerful approach for editing raster images, vector graphics, geometric models and animated characters. This breadth of possibilities has led to an abundance of methods seeking to improve interactive deformation with real-time computation and intuitive use. Our goal is to make the design and control of deformations simpler by allowing the user to work freely with...
Real-time MRI emerges as a feasible modality for guiding interventions and surgeries on the beating heart. One challenge is the path planning task for intra-cardiac procedures, which requires tracking the inner contour of the left endocardium on the beating heart. We propose a bottom-up approach to solve this tracking problem. On the bottom level, a coarse contour is generated based on a collaborative...
In this paper, we analyze the effect of texture regularity on the performance of image resizing (or called image retargeting), and then propose an efficient texture-aware resizing algorithm. Being perceived as unimportant due to spatial homogeneity, textured patterns are largely deformed (or warped) in existing image resizing algorithms. However, arbitrary warping without considering the specific...
Currently, both the market and the academic communities have required applications based on image and video processing with several real-time constraints. On the other hand, detection of moving objects is a very important task in mobile robotics and surveillance applications. In order to achieve an alternative design that allows for rapid development of real time motion detection systems, this paper...
Development of optical sensors possessing a continuous field of view provides forming a number of informative features of the optical signal as an output signal of the sensor. These sensors allow both the sensor operating in real time and the feasibility of designing an analog processor based on the sensor array that combines optical signal recording with a new signal processing technique. They operate...
To establish a sustainable energy supply system, renewable energy sources and low-carbon vehicles will have to become more widespread. However, it is often pointed out that the dissemination of these technologies will cause difficulties in balancing supply and demand in a power system, due to the fluctuation in the amounts of renewable energy generated and the fluctuation in the power demanded for...
This work addresses the problem of real-time 3D shape based object class recognition, its scaling to many categories and the reliable perception of categories. A novel shape descriptor for partial point clouds based on shape functions is presented, capable of training on synthetic data and classifying objects from a depth sensor in a single partial view in a fast and robust manner. The classification...
In several applications of computer vision and image processing, the inception of the processing starts with object detection and subsequently tracking, if the need arises. In recent years, there has been extensive research in the field of object detection and tracking. Many remarkable algorithms have been developed for object detection and tracking, including color segmentation, edge tracking and...
There are two different people counting methods: (1) counting people across a detecting line in certain time duration and (2) estimating the total number of people in some region at certain time instance. This paper presents a new approach to count the number of people crossing a line of interest (LOI). First, the foreground object silhouettes are extracted described as blobs. Second, we generate...
Low-cost depth cameras create new opportunities for robust and ubiquitous vision-based interfaces. While much research has focused on full-body pose estimation and the interpretation of gross body movement, this work investigates skeleton-free hand detection, tracking, and shape classification. Our goal is to build a rich and reliable gestural interface by developing methods that recognize a broad...
This article presents an interactive hand shape recognition user interface for American Sign Language (ASL) finger-spelling. The system makes use of a Microsoft Kinect device to collect appearance and depth images, and of the OpenNI+NITE framework for hand detection and tracking. Hand-shapes corresponding to letters of the alphabet are characterized using appearance and depth images and classified...
Traditional image search methods lack efficient ways to refine search results. This creates significant problems, especially for mobile users with small screens, low bandwidth and awkward keyboard settings. In this demonstration, we present an intuitive mobile application that allows users to quickly search for face images based on geometric attributes. Users drag one or a small number of shape contours...
Hand tracking is a fundamental task in a gesture recognition system. Most previous works tracked the hand position on color images and relied heavily on skin color information. However, color information is very vulnerable to lighting variations and skin color varies across difference human races. Furthermore, one can not effectively discriminate faces or other skin-color-like objects from hands when...
Accurate initial pose is a kind of crucial information when localizing shape features or recognizing car models in a real-time intelligent transportation system. However, obtaining a sufficiently accurate initial pose is generally difficult because very little prior information is available when the vehicle is first time captured by the camera. This paper proposes an algorithm that can provide a sufficiently...
Anytime systems represent a subfamily of the realtime ones. They provide continuous operation even in cases when the circumstances are changing, e.g temporary shortage of time, changing computational power, etc. As the available computation time decreases, the accuracy of the computation becomes negatively affected. Iterative algorithms support this kind of computation. Unfortunately the construction...
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