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Assessment of aging civil infrastructure should be done periodically to getting information about the structural condition. In context to it, classification, detection, and localization of cracks within these concrete structures is of paramount importance. The most commonly used procedure, i.e. visual inspection, is executed manually by human inspectors, and thus, its accuracy depends on personnel's...
Nowadays, there are lot of assistive technologies to support visually impaired people. Among them computer vision based methods provide a feasible solution. An indoor environment provides challenges like object recognition, character and scene recognition. It is important to understand that people feel insecure in places and also when they need to support their people along because of their challenges...
This paper describes about the team SNU MACRO'S strategy for scan the code mission in Maritime RobotX Challenge. Before describing the specific algorithm for scan the code mission, our vehicle system which was developed for completing each mission for the competition is outlined briefly. To recognize the LED color of the buoy, image processing algorithm is divided into three step, including preprocessing,...
This paper presents a novel algorithm for detection certain types of emergencies relating to fire, smoke and explosions by processing the data recorded from the camera monitoring, based on cascaded approach. First, the combination of Adaboost and Local binary pattern (LBP) are using for getting Region of Interest (ROI) and reducing time complexity. Next, to alleviate common problems of vulnerable...
Image processing is a method of extracting some useful information by converting image into digital inform by performing some operations on it. Object detection and tracking are the task that is important and challenging such as video surveillance and vehicle navigation. Video surveillance is a technology which works in dynamic environment in various events such as sports, public safety, and management...
In the field of Image processing, to be more specific new technologies are emerging in the domain of segmentation. This is because the new change that has taken place in computer processing application using color images hence color image segmentation is a kind of interest for the recent researchers. In image segmentation, color space plays a vital role. Different types of color space are RGB, HSV,...
Fall detection plays a significant role in the medical care of elderly people. As reported, falling is the main cause leading to the death of the elderly over the age of 65. Recently, video-based fall detection methods have been widely used, with the progress of intelligent video analysis. In this study, we presents a novel method to detect the fall with a position-fixed RGB camera. Our method consists...
the objective of this work is to compute the Time-to-Collision (TTC) of surrounding vehicles of a vehicle using motion information in driving video. The key advantage in this work is the extraction of potential danger without vehicle detection and recognition in prior, but directly from the motion divergence in the video. We analyze the trace expansion both horizontally and vertically condensed in...
Reliable object discovery in realistic indoor scenes is a necessity for many computer vision and service robot applications. In these scenes, semantic segmentation methods have made huge advances in recent years. Such methods can provide useful prior information for object discovery by removing false positives and by delineating object boundaries. We propose a novel method that combines bottom-up...
Object detection in a video is a challenging task in the field of image processing. Some applications of the domain are Human Machine Interaction (HMI), Security and Surveillance, Supplemented Authenticity, Traffic Monitoring on Roads, Medicinal Imaging etc. There happens to be a number of methods available for object detection. Each of the method has some constraints on the kind of application it...
The human detection and tracking in a video plays major roll in security systems. This paper proposes an approach to detect and track the persons in a video. This approach uses Gaussian Mixture Model to detect the person and Kalman filter to track the detected person. The processing time to detect the person is reduced by performing the detection operation on down-sampled video. After detecting the...
The quality of outdoor captured images by camera may be degraded due to the occurrence of haze in the atmosphere. The process of enhancing the image by removing the haze is call dehazing. In this paper, dark channel prior and fuzzy enhancement based method is applied to remove haze from a hazy image. The performance of the proposed method is evaluated by comparing average information content and natural...
Colour, texture, shape, and relative position descriptors are fundamental visual descriptors. In particular, a relative position descriptor is a quantitative representation of the relative position of two spatial objects, and a basis from which models of spatial relationships (like inside, above, around, near) can be derived. The affine properties of visual descriptors have been the subject of much...
in today's scenarios world is struggling to develop new technologies for handicap people, so that they can also compete in the modern world. The Main existing solutions are prosthetic devices, voice recognition programs, screen readers, and hand gestures recognition, but developing new technologies faces various problems like time, cost and portability. This paper proposes a new perspective by enhancing...
In many fields, superior gains have been obtained by leveraging the computational power of machine learning techniques to solve expert tasks. In this paper we present an application of machine learning to agriculture, solving a particular problem of diagnosis of crop disease based on plant images taken with a smartphone. Two pieces of information are important here, the disease incidence and disease...
In this paper, we propose an instrumentation and computer vision pipeline that allows automatic object detection on images taken from multiple experimental set ups. We demonstrate the approach by autonomously counting intoxicated flies in the FLORIDA assay. The assay measures the effect of ethanol exposure onto the ability of a vinegar fly Drosophila melanogaster to right itself. The analysis consists...
Automated video analysis in fishery has drawn increasing attention since it is more scalable and deployable in conducting survey, such as fish catch tracking and size measurement, than traditional human observers. However, there are challenges from the wild sea environment, such as the rapid motion of the tide and the white water foam on the surface, which can create large noise in video data. In...
This paper presents a novel method for performing guided image filtering using local polynomial approximation (LPA) with range guidance. In our method, the LPA is introduced into a multipoint framework for reliable model regression and better preservation on image spatial variation which usually contains the essential information in the input image. In addition, we develop a weighting scheme which...
Visual saliency approaches aim to detect regions that attract human attention more than others. To find salient objects in a video shot we start from the hypothesis that moving objects attract attention more than other and are considered salient. In this paper, a novel video saliency model is proposed. Saliency map is the result of a combination between a dynamic map and a static map. For each pair...
In this paper, we propose a method to separate diffuse and specular images from a single image based on sparse representation. The proposed method relax the recent sparse-based technique for removing specular highlights that require multiple input images. Instead, we use only a single input image and then generate multiple specular-free images from this image. The specular removal problem is formulated...
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