The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The rapid development of three-dimensional (3D) imaging techniques has significantly increased the demand for high resolution (HR) depth video and images. Significant pixel deficiencies and too much noise can be seen in depth images especially taken from Kinect cameras. For this reason, usability in several computer vision applications is restricted. In the acquisition of HR depth images, in traditional...
Defect detection and recognition of bare PCB plays a significant role in computer vision applications. An accurate and efficient approach is implemented in this paper. The approach is based on the comparison between the standard PCB image and the target image. Multiple images of the qualified PCBs are acquired at the same position. We take an average of the images and consider it to be an initial...
Falls threaten the health and life of the elders heavily because they lead to injuries or even death. Therefore, a reliable monitoring and alarm mechanism is desperately in need to guarantee the quality of elders' life. In this paper, we propose a multistage machine learning method to perform fall detection and solve the false alarm and missing alarm problem in traditional fall detection methods....
Video Analytics on low/high resolution security camera images has received a considerable interest in recent years. Traffic density estimation from traffic camera images can be considered as one of these subjects. Traditionally GPS data from commercial vehicle fleets have been utilized to estimate traffic density on roads. Traffic density estimation has been implemented using image processing and...
A vehicle detection method in tunnel video is proposed based on ViBe (Visual Background Extractor) algorithm. The proposed method consists of three steps: firstly, histogram equalization is used to preprocessing the video aiming at improving the quality of the video images; secondly, the classic ViBe algorithm is adopted to model the background and detect the moving vehicles; finally, morphological...
Nowadays, eye tracking is an emerging research topic and it is entering its fourth era which is characterized by the utilization of video-oculography (VOG). In the VOG system, image processing algorithm is utilized to extract eye movement information. One main process in the VOG system is pupil tracking which is used to measure the movement of the eye. The accuracy of pupil tracking is important factor...
The detection of moving object is one of the major steps in computer vision applications such as human-machine interface, medical analysis, robotics, traffic surveillance, etc. In our paper we applied Gaussian Mixture Model (GMM), which is established on background subtraction. Smoothing method was used for the pre-processing stage and morphological filter was applied to remove the unwanted pixels...
Background subtraction is one of the most important parts in image and video processing field. There are some unnecessary parts during the image or video processing, and should be removed, because they lead to more execution time or required memory. Several subtraction methods have been presented for the time being, but find the best-suited method is an issue, which this study is going to address...
Extraction of communication signals from noisy spectrograms is a challenging problem which has not been explored extensively from an intelligent signal processing and computer vision based perspective. In this paper we propose a novel technique of extracting the communications signal from a noisy spectrogram using a combination of fuzzy neighborhood thresholding based self organizing neural network...
Present work analyses the continuous self-calibration of extrinsic parameters of a stereo vision system for safe visual odometry applications in vehicles at urban environments. The calibration method determines the extrinsic parameters of a stereo vision system based on knowing the geometry of the ground in front of the cameras. The slight changes of the road profile cause variations in the extrinsic...
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
It is proposed a navigation system based on the unmanned aerial vehicle (UAV) onboard camera that can land on a moving naval platform. It is considered that, besides the usual sensors, the aircraft is equipped with a RGB digital camera capable of detecting markers located on the ship's deck. The proposed method uses a framework based on a Kalman filter (KF) and an efficient perspective-n-point (EPnP)...
Through the analysis of common moving target detecting algorithms, this paper proposes a moving target detecting algorithm based on Susan edge detection and frame difference. It detects the edge information of current frame image by Susan operator, then taking a differential operation between the current frame and the next frame image to get the outline of moving target. Finally, it extracts the target...
In this paper, we propose a adaptive-window-based dehazing method for hazy images. The proposed method is composed of four parts: dark channel measurement, bilateral filtering, atmosphere light and transmission map estimation, and scene radiance recovery. Dissimilar to existing methods, we proposed an adaptive-window-based algorithm to obtain the dark channel. Experimental results demonstrate that...
Feature extraction is the most important and essential part in any image matching algorithm. Features are obtained by quantifying the characteristics of an image like illumination, corner, orientation and view angle etc. Image matching techniques consist of features extraction and their matching with other features. The inherent mathematical steps involved in calculation of these features make the...
Stereo matching is an important research topic in the field of stereo vision. According to the stereo matching information, stereo matching algorithms can be divided into local, global, and semi-global algorithms. This paper summarizes the advantages and shortcomings of these matching algorithms. An experimental platform is set up for health care, and some matching algorithms are tested. Experimental...
Motion analysis for moving object from UAV aerial images is still an unsolved issue in computer vision research field due to fast abrupt motion of object and UAV, low resolution, noisy imagery, cluttered background, low contrast and small target size. The main reason for the inability to handle motion is the weakness of existing approaches for moving object detection. This paper presents critical...
In this paper we propose a novel explicit image filter called guided depth image filter for natural image matting. Different from the traditional matting model, the guided image filter computes the filtering output by considering the content of a depth image. The guided depth image filter can be used as an edge-preserving smoothing operator like bilateral filter, but has better behaviors near edges...
This paper describes a novel method to enhance underwater optical images by dehazing. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, like fog or turbid water which contains abundant particles, plankton etc. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the...
This paper presents a new method to track and count vehicles in video traffic sequences. The proposed method uses image processing, particle filtering, and motion coherence to group particles in videos, forming convex shapes that are analyzed for potential vehicles. This analysis takes into consideration the convex shape of the objects and background information to merge or split the groupings. After...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.