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This study describes a method for using a camera to automatically recognize the speed limits on speed-limit signs. This method consists of the following three processes: first (1) a method of detecting the speed-limit signs with a machine learning method utilizing the local binary pattern (LBP) feature quantities as information helpful for identification, then (2) an image processing method using...
This paper presents a general framework for live detection of broilers in poultry houses. The challenges for image recognition of broilers are posted by crowded scenes, poor image quality and difficulty in acquiring a benchmark of labeled samples. The proposed framework consists on the use of image thresholding, morphological transformations, feature engineering, in addition to supervised and unsupervised...
The aim of this research is on developing a dynamic image matching model (DIMM) for smart devices. People with no knowledge on searching keywords can see the information and make good use of it in their daily life. Although existing search engines (Google, Yahoo etc.) have this systems, but it is necessary to get the information of any objects from anywhere on any platform. To fulfill this requirement...
This Clud computing is the “post-PC” product of the times, and are profoundly affecting computer vision science. Using of clud computing method can achieve accurate detection of objects moving target location, thus fulfilling the object of physical space and information space integration. Based on the binocular visual motion detection algorithm is proposed. Using multiple cameras for eyes can deal...
Summary form only given. Human-computer interfaces (HCI) have evolved from mouse-keyboard based interaction using text and mouse events to multi-touch screens and other exotic approaches such as using special gloves or other devices to translate human actions into application controls. One of the trends which are “en vogue” in our days is the control of computer applications and/or computer controlled...
Automated motion detection and tracking of ground moving objects using aerial platforms is challenging due to the small object size in comparison with objects such as buildings, as well as the fact that flying cameras can undergo rapid translations and rotations. As such, our objectives are to develop a system for gathering useful information from aerial images by mapping visited areas through image...
In the process of producing copper bar, because of the cast copper billet, rolling equipment, rolling process and other reasons, the surface of copper bar appear some defects such as crack, scarring, roller printing, scratches, holes, scales, pitting, and so on. These deficiencies not only affect the appearance of the product, but more importantly reduce the product's corrosion resistance, abrasion...
Traditional QWERTY keyboards provide a minimal but functional interface. However these keyboards are bulky and offer very little in terms of enhancements. In this age of miniaturization, where the size of laptops and desktops is becoming smaller, the traditional keyboard acts as a hindrance to further miniaturization. The Virtual Keyboard (VK), with its minimal physical form can provides a solution...
This paper presents a real-time algorithm of accurately identifying helipad and estimating the state information for landing an unmanned aerial helicopter autonomously via computer vision. The algorithm estimates the instantaneous attitude and position parameters of the helicopter relative to the helipad from continuously tracked points using the optical flow method. The vision system, consisting...
An automatic method for identifying different variety of rice seeds using machine vision technology was investigated, and a detection system which was consisted of an automatic inspection machine and an image-processing unit, was also developed. The system could continually present matrix-positioned rice seed to CCD cameras, and singularize each rice seed image from the background. The inspection...
Various image processing techniques and geometric models have been applied in vision based lane detection subsystems of intelligent vehicles and Advanced Driver Assistance Systems (ADAS). However, challenging conditions such as strong shadows, occlusions, eroded markings, high curvatures are ongoing issues in this topic. In this paper, a novel lane extraction method based on symmetrical local threshold...
Since the introduction of Google Street View, a part of Google Maps, vehicles equipped with roof-mounted mobile cameras have methodically captured street-level images of entire cities. The worldwide Street View coverage spans over 10 countries in four different continents. This service is freely available to anyone with an internet connection. While this is seen as a valuable service, the images are...
Panorama has an extensive research history in computer vision and image processing, with several commercial offerings on the market today. Photo registration is the key component for generating panoramas. Textured regions in photos bring challenges to the registration algorithms. However, so far there has been no specific research focusing on this problem. To address this issue, we proposed texture...
This paper presents a method that jointly performs synthesis of free-viewpoint images and object segmentation from that viewpoint. This method works efficiently and online by sharing a certain calculation process among rendering and segmentation steps. Since the segmentation is performed for arbitrary viewpoints directly, the extracted object can be superimposed onto another 3-D scene with geometric...
In this paper, a robust and efficient approach for multicamera human tracking is presented. The approach is integrated in an experimental surveillance system, based on a camera network with a task-oriented architecture. At sensor level, image processing algorithms are applied for object detection and feature extraction. Additionally, for each object that is to be tracked, an agent-based multi-sensor...
This paper reports the development of a reliable vision-based eye-gaze detection system for an analysis of multiple users' intention and communication. Headgear design for the gaze detection, a recording system, an off-line computation, an algorithm of the gaze extraction, and its calibration method, are mentioned. Applying the proposed system to a test case, sufficient precision of the gaze detection...
The objective of this research is to develop an advanced driver assistance system with lane departure warning and forward collision warning functions. The main input of this system is a CMOS camera, which is used to acquire roadway image in front of vehicle. In order to extract lane markings and vehicles from roadway image, the image processing methods such as coordinate systems transformation, object...
There are two steps in using 3D computer vision to extract metric information from 2D images. Camera calibration is the first step, and this paper analyses and compares the three popular calibration methods: typical linear calibration, Tsaipsilas two-stage calibration and Zhangpsilas planar pattern calibration by measuring the position of space points. It is concluded that Zhangpsilas method has the...
This paper proposes a new approach to detect the fall of the elderly. The detection system is composed of a PC server and distributed cameras. The distributed cameras are used to capture images of different place in a house, and the PC server is used for fall recognition. In the fall recognition process, we extracted a new feature using for distinguishing lying down normally and behavior of falling...
This paper presents an eye-gaze tracking system based on the image processing. All the computations are performed in software and the system just needs a PC camera attached to the user's computer. We first extract the facial regions form the images using the skin-color model and connected-component analysis. Then the eye regions are detected by employing the rules and area segmentation. After the...
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