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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...
A good traffic monitoring system should be able to detect, count and classify moving vehicles. Vehicle classification is an important task that can provide information about road users and implicitly take decisions that can reduce congestion for example. This paper presents a new classification approach for moving vehicles. First moving vehicles are detected using a background subtraction approach,...
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...
Paddy is the most important crop in Asian country. Most of the people depend on rice for their food, so rice is considered as staple food in Asian country. Rice plant is affected by many diseases that affect the farmers in yield loss. In this paper, proposed a method for identification of Blast and Brown Spot diseases. Global threshold method has been applied and kNN classifier has been used to classify...
An Image Retrieval (IR) system is used for accessing and retrieving the images from large image database. Content means the image features like color, texture and shape of the image. For Color feature, it is scaling and rotation invariant. It encrypts the color data they are a good component to use under changing lighting conditions. Three color moments are figured per channel (e.g. 6 minutes if the...
It is very difficult to retrieve image from large no of database which contain some message on it. The OCR techniques are becoming very efficient techniques for external and fast retrievals. The OCR technique search image based on data or text written on image. It search image or message contain in the image OCR the mechanical or electronic conversion of images of typed, handwritten or printed text,...
Face detection is one of the most researched topics in computer vision. During the past decades, several fast and accurate methods have been developed by using different computer vision and statistical tools. In fact, accuracy and applicability are two main factors which researchers try to improve. In this paper a method for face region detection using color segmentation and randomized Hough transform...
Inappropriate medication use such as wrong drug or wrong dose intake can be harmful to patients. In this work we present a method to automatically identify a pill from a single image using Convolutional Neural Network (CNN). We first localize the pill in the image by detecting the region with the highest concentration of edges. To overcome the challenge of minimal labeled training data and domain...
Human's everyday environment is an open environment in which objects with new shapes, colors or textures frequently appear. Enabling robots to deal with such environments and to manipulate those objects raises a difficult challenge: how to recognize an object? How to distinguish it from the background? An approach is proposed here to allow the robot to find this segmentation on its own. It relies...
Buttons is closely related to human life. The management of buttons in a button factory is very complex because there is a huge number of button types. In order to simplify the management complexity, this paper has proposed a method of multi-template matching to identify the buttons and automatically encode the buttons according to rules in the International Commodity Code so that button libarey can...
Determining the vehicle density running on the specific road is an important topic in Intelligent Transportation System. Reliable and robust vehicle detection from video sequence is an important problem in the application to control the traffic. The processing time of the vehicle detection system should meet the real time and should be free from false detection. The density of the vehicles defines...
Automatic identification and recognition of medicinal plant species in environments such as forests, mountains and dense regions is necessary to know about their existence. In recent years, plant species recognition is carried out based on the shape, geometry and texture of various plant parts such as leaves, stem, flowers etc. Flower based plant species identification systems are widely used. While...
Recently, the use of object proposals has been much introduced in the field of salient object segmentation methods. Object proposal methods provide a limited set of proposals per image which can successively be analyzed on their saliency. In this context, we regard saliency map computation as a regression problem and we used object proposals (selective search) to compute the saliency map. Our method...
The detection of manipulated images is of utmost significance nowadays, mainly due to the various technological, moral, and judicial connotations associated with image editing. In this paper, a common form of image manipulation known as image composition or splicing is examined. The forgery detection method proposed here makes use of fine inconsistencies in the colour of the lighting of images. Our...
The development of an automatic telemedicine system for screening and grading of Diabetic Retinopathy depends (DR) on reliable detection of abnormalities in retinal fundus images. The abnormalities in retinal fundus images due to DR are lesions which includes Micro aneurysms and Haemorrhages. An automatic detection of abnormalities like Micro aneurysm and Haemorrhages in colour fundus images is important...
Recovering depth information from a single still image is an important problem in computer vision. However, the problem is difficult and challenging because it has an infinite number of solutions. To address this issue, humans use numerous visual cues to infer depth. Much progress has been made towards an understanding of the visual mechanisms involved in 3D perception. Such an understanding provides...
With the growing availability of wearable technology, video recording devices have become so intimately tied to individuals, that they are able to record the movements of users' hands, making hand-based applications one the most explored area in First Person Vision (FPV). In particular, hand pose recognition plays a fundamental role in tasks such as gesture and activity recognition, which in turn...
Accurate pedestrian detection with high speed is always of great interests especially for practical application. Detectors usually follow the feature selection paradigm, and need to first construct rich and diverse features. In particular, current state-of-the-arts generate more channels of feature by convolving the basic feature channels with filter banks, which significantly improves accuracy. In...
Vision is vital to decision making, as humans naturally trust their eyes to enhance situation awareness. Yet the modern age has overwhelmed humans with massive amounts of visual information, which is problematic in time sensitive and mission critical situations, such as emergency management and disaster response. More efficient search and retrieval systems address some of these issues, which is why...
Learning visual attributes is an effective approach for zero-shot recognition. However, existing methods are restricted to learning explicitly nameable attributes and cannot tell which attributes are more important to the recognition task. In this paper, we propose a unified framework named Grouped Simile Ensemble (GSE). We claim our contributions as follows. 1) We propose to substitute explicit attribute...
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