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Many animal species exist in this world and there are always new species being discovered each year. Therefore, it is very important that these valuable species be documented properly to be referred to in future. Numerous information retrieval systems for managing and documenting animal species today only allow users to search animal images and descriptions online via text-based input. Therefore,...
Traffic sign recognition is an important step for integrating smart vehicles into existing road transportation systems. In this paper, an NVIDIA Jetson TX1-based traffic sign recognition system is introduced for driver assistance applications. The system incorporates two major operations, traffic sign detection and recognition. Image color and shape based detection is used to locate potential signs...
Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. We demonstrate how this enhances the method by allowing high-resolution controlled stylisation and helps to alleviate common failure cases such as applying ground textures to sky regions...
Vectorization is happened by a wave method. The wave method is to analyze the path of the way to the spherical wave in the image. At every step is analyzed offset center of point's mass forming a new step wave relative to the previous position of the center of mass. Offered of the perfected wave tracing algorithm is to use a spherical wave on the combined raster image while creating skeleton. The...
Website button has become one of the most important elements for users to communicate with website, so website designer pay more and more attention to the feeling towards interaction between human and machine, this research will explore the feelings of users material design button brings to human so as to learn about (1) elements why material design button attracts people (2) the usage feeling of...
As technology improving, technological equipment can now be used to interact during entertainment activities. In this study, a semantic differential scale was used to investigate the feelings of viewers about combinations of shapes and colors, and refer it to produce interactive digital art work. Moreover, an electroencephalogram device was employed to measure the EEG signals of the viewers during...
Many skin detection approaches have been proposed in the image analysis literature. Some are simple and static; the others are dynamic and rely on complex machine learning algorithms and training data. Generally the simple approaches are preferred. We hypothesize that the developers' choice for the simple approaches are due to the reasonable quality of results and ease of implementation, since the...
This method achieves efficient random explorations of open and dynamic environments. It relies on two main assumptions: (1) moveable object are interesting, (2) focus on visually salient areas first, that are not specific to a particular scenario or experimental setup.
This paper describes approach to detect object using its shape and color information which is capable of detecting object rapidly and comparatively with good detection rate. This work divided into two part. First how to use color information to segment the object and secondly how to compare the contour of extracted object with contour of object to be the detected. Proposed method uses Fourier descriptor...
Safe landing of small unmanned aerial vehicles (UAVs) is not an easy task due to complex external aiding devices. Likewise external piloting also involves risks of false landings. Hu's moment based vision algorithms that aids automatic landing of UAVs prove to be satisfying regarding speed but lack accuracy and efficiency. This paper proposes Randomized Hough transform (RHT) based vision algorithm...
This paper presents a new level set tracking method for the tracking of non-rigid objects in videos. The main idea is to introduce a new probabilistic model to classify the background and object more robustly, which is then encoded as a new term for the energy function for solving the level set problem. Also, we propose to use bounding box of the contour as a shape prior, which simplifies the contour...
The article presents the main functionalities and outcomes of the SCOUTER project, which is developed by UTI GRUP in partnership with the “Politehnica” University of Bucharest and co-funded by the Romanian R&D National Framework. SCOUTER is built as an offline processing application module for coping with multiple instance objects retrieval task from video surveillance footage (e.g., searching...
The system capable of localizing and reading aloud text embedded in natural scene images can be very helpful for blind and visually impaired persons — providing information useful in everyday life, it increases their confidence and autonomy. Even though the currently available optical character recognition (OCR) programs are fast and accurate, most of them fail to recognize text embedded in natural...
Squamous cell carcinoma (SCC) of the lungs is one of the types of non-small cell lung malignancy. Non-small cell lung cancers accounts for about 80% of lung cancers, and of these, roughly 30% are SCC's, which are mostly seen in smokers. SCC is seen in the tissue that lines the air passages in the lungs. The work is based on the Segmentation and Detection of Squamous cell carcinoma of lung from sputum...
This paper presents a fresh food recognition system that utilizes the feature fusion extracted from food images captured from optical fibers embedded inside a chopping board. We exploit both local and global features including color, SURF and shape for image representation. In addition, we propose cost-based schemes for feature matching and the Borda count method for feature fusion. An experiment...
Stereo matching remains a difficult vision problem for the image noise, textureless regions, depth discontinuities and occlusions. This paper presents a novel adaptive window stereo matching algorithm based on seed voting to solve these ill-posed problems. There are three key contributions in this paper: combining color and gradient as conditional tags to restrain initial window size for further adaptively...
Human detection in computer vision field is an active field of research. Extending this to human-like drawings such as the main characters in comic book stories is not trivial. Comics analysis is a very recent field of research at the intersection of graphics, texts, objects and people recognition. The detection of the main comic characters is an essential steptowards a fully automatic comic book...
Computerized analysis of microscopic cross sectional images of plant parts is useful for authentication and quality assessment of plant materials. The analysis involves segmentation of cells in the cross section, extraction of cell features and classification of cells. The segmentation of individual cells plays a major role in realistic estimation of cell parameters for identification and classification...
In this paper, we propose a new approach to detect hand-waving motion in crowds. Different from previous approaches which are often based on segmentation and motion detection, our method can be seen as a complexity reduction process from the problem of 3D motion detection to 2D object detection. Through arranging the same row of per video frame along the time sequence, we obtain 2D images composed...
Hand gesture recognition plays a major role in the Human Computer Interaction (HCI), since it could be employed in many applications as a communication language. Nearly all hand gestures used in HCI are created using one hand; while other applications use gestures produced by two hands as long as both hands do not cross each other. This constraint in the bimanual gestures is due to the difficulties...
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