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This paper introduces a novel system for sports motion analysis. The system utilizes wearable sensors and video cameras to detect a sports motion and to provide image sequences of the motion automatically. Deep neural networks were adopted for detection and explicit segmentation of a sports motion into submotions. The proposed system is evaluated by implementing a soccer kick analysis system as an...
In this paper we do staircase detection with a stereo vision based algorithm through NAO robot, using one of this cameras. Robot programming was implemented in Python language using ROS software. The detection algorithm is divided in two parts: line detection and depth perception. In line detection process we use Hough transform and vanishing point criteria for line segmentation. Respecting depth...
Aortic stenosis (AS) is a condition where the calcification deposit within the heart leaflets narrows the valve and restricts the blood from flowing through it. This disease is progressive over time where it may affect the mechanism of the heart valve. To alleviate this condition without resorting to surgery, which runs the risk of mortality, a new method of treatment has been introduced: Transcatheter...
This study discussed on a comparison of three cropping techniques for region of interest (ROI) detection of ultrasonography (USG) image. Ultrasound images are used to provide information about fetal development in the womb. The image generated by the two-dimensional ultrasound has not been able to provide complete information. Therefore, in order get the form of fetus on ultrasound image can be clearly...
Malaria is a disease caused by parasitice protozoa belonging of the genus Plasmodium through the mediation of prick (bite) of Anopheles. Indonesia is one of the countries that has a high endemicity. There are four types of plasmodium that can cause malaria, which are plasmodium falciparum, plasmodium vivax, plasmodium oval and plasmodium malariae. One of the common ways to detect malaria parasites...
Text recognition has revolutionized the world of image processing and intelligent transportation system (ITS). It opened several possibilities to traditional ITS concept. Advancement in text recognition has made it possible to implement text recognition in ITS. Traffic panel text recognition, a real time application is considered as a key addition to the revolution in modern ITS. This research aims...
Recognition algorithms based on convolutional networks (CNNs) typically use the output of the last layer as a feature representation. However, the information in this layer may be too coarse spatially to allow precise localization. On the contrary, earlier layers may be precise in localization but will not capture semantics. To get the best of both worlds, we define the hypercolumn at a pixel as the...
In this paper, we have implemented and tested a system of detection and recognition of road signs. The approach taken in this work consists of two main modules: a sensor module, which is based on color segmentation and shape detection where we converted the images to the HSV color space, then labeled the detected regions and tested for their shape. A recognition module, Template Matching, whose role...
Forest disturbances caused by Pantana phyllostachysae caused the death of extensive bamboos in Hubei province, China in 2015. Field survey is time-consuming and at higher cost to satisfy the forest management requirements. Satellite remote sensing technology having the characteristics of landscape of coverage, convenient, and fast in formation acquisition, is one of the most important and most effective...
Synthetic Aperture Radar (SAR) has over the years evolved to be one of the most promising remote sensing modalities for large-scale monitoring of the ocean and maritime activity. The detection of ships at sea in SAR imagery is a challenging task, as it requires the detection of small targets with little exploitable spatial information within a high resolution image. We present a novel method for the...
The traffic sign detection and recognition is an integral part of Advanced Driver Assistance System (ADAS). Traffic signs provide information about the traffic rules, road conditions and route directions and assist the drivers for better and safe driving. Traffic sign detection and recognition system has two main stages: The first stage involves the traffic sign localization and the second stage classifies...
Gait is an important physiological biometric in the area of computer vision for human authentication at a distance. In appearance-based gait recognition system, significant gait features could be affected by various cofactors such as cloths or carrying objects. Therefore, detecting co-factored segments and eliminating co-factored information without losing the features of Gait Energy Image (GEI) is...
Segmentation of text on traffic panels has shown great importance. Detection and recognition of traffic panels text is still a challenge in computer vision due to its different types and hug asymmetric information. This paper proposed a method to detect roadside traffic panels and extract the information on them. In the first stage, blue, white and green color segmentation and structure classification...
Pothole are the primary cause of accidents, hence identification and classification using image processing techniques is very important. In this paper image pre-processing based on difference of Gaussian-Filtering and clustering based image segmentation methods are implemented for better results. From the results the K-Means clustering based segmentation was preferred for its fastest computing time...
Pulmonary nodule is a common lung disease, which can be prone to misdiagnosis and missed diagnosis. With the extensive application of CT technology, doctor's diagnostic efficiency has been greatly improved. However, the amount of CT image data is relatively large. Radiologists have to take a lot of time to read these images, and easy to overlook some minor lesions. Computer aided detection technology...
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional Pal-King fuzzy enhancement algorithm and overcomes the loss of gray information after the processing of enhancement. Since a gray image with multiple targets need more than one crossover...
Paper describes the developed approaches to detecting emergency situations that primed based on color segmentation, frame difference and deep convolutional networks. The main objective was to test the interaction of computer vision traditional methods, combined with modern methods of machine learning. Experimentally proved that detection quality for the combination of such methods is 96.7%. In this...
In this study, binary partition trees are applied to the problem of fruit detection. The fact that binary partition trees are inherently unbiased and independent of flatzones is the main reason for this application. Using only circularity from the shape priors, this system is put to test with 39 images of three classes of fruits and the test results show an average of 0.669 precision and 0.851 recall.
An advanced imaging procedure that exploits the intrinsic multi-aperture nature of a ground-based forward-looking GPR is presented. The imaging algorithm takes into account the near-field nature of the sensing configuration. Numerical data based on electromagnetic modeling of shallow buried targets in ground with a rough-surface profile are used in conjunction with a likelihood ratio test detector...
Digital retinal photography and the application of computer vision in ophthalmology are increasingly becoming helpful in the diagnosis and management of retinopathies and cardiovascular diseases. Although several automatic methods of detecting vessels in retinal images have been proposed, there has however been a need for improved automatic vessel detection methods that is capable of handling the...
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