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Human beings have inseparably attached biofield with physical body. This is now universally accepted. Scientific experiments have conclusively proved that the state of mind, i.e. the thought process, is responsible for generating different characteristics of biophotons. Detection, measurement, and even two dimensional imaging of ultraweak biophotons emission have been reported. With rapid progress...
The segmentation of some scenes can be better for its next step in the processing and analysis. In this paper, the Gaussian mixture model clustering is used to detect and segment the scenes in the sports competition. Firstly, the main color of the scene is extracted by the method of color space histogram, and it is used as a sample for local training. Then we use the expectation maximization algorithm...
The issue of image completion is well developed in these years. Most of them reconstruct damaged area by referring to the under-repaired images themselves. However, they may fail if damaged portion collapse their structure which is unique and important. We propose to use an external reference image to repair the damaged image and the method provides the following three contributions: (1) an algorithm...
Person re-identification is a fundamental challenging task in Computer Vision that consists on recognizing the same person across multiple potentially non-overlapping cameras. This importance is due to the important challenges that it proposes like pose, background clutter and occlusion, illumination changes and low resolution. Also, most of the existing approaches rely on brute-force matching between...
With the huge amount of web video data and its exponential growth in recent years, there are new challenges in Near-Duplicate Video Detection (NDVD) which have attracted much attention owing to its wide applications. One of the problems is how to extract discriminative features to achieve higher precision, and the other problem is how to improve the efficiency of large scale video analysis. Existing...
This paper presents a novel stereo matching algorithm that utilizes the disparity variations of each pixel by cost formulation in a cooperative manner to solve several stereo disambiguation problems. A completely novel Stereo Orthogonal Feature-mapping transform (SOFT) has been proposed to compute the local as well as semi-global stereo matching cost that involves the extraction of the color information...
We propose an estimation method of initial labels based on scale-invariant feature transform (SIFT), high dimensional color transform (HDCT), and machine learning for propagation-based saliency detection. The label propagation strategy is efficient for saliency detection, but its accuracy depends on the distribution of initial labels. In this paper, the proposed method respectively estimates initial...
The underwater images not only offer an interesting sight, but also have a challenge to monitor marine species and underwater activities. Taking a beautiful underwater image requires extraordinary equipment and technique. Usually, there are distorted colors on the image caused by poor light and water quality. So it requires an image enhancement process to get a proper photo to display. This research...
The paper presents a very simple and efficient way of color style transfer of a video using a reference image. Style transfer changes the mood of look and feel of video. Here, in this paper instead of RGB color space, for style transfer oRGB is used which is much more robust compared to other color spaces. Then the color space is segmented using an unsupervised k-means algorithm. Later, each cluster...
Acute lymphoblastic leukemia is a form of blood cancer caused due to the abnormal increase in the production of immature white blood cells in the bone marrow, mostly affecting children below 5 years and adults above 50 years of age. The ailment has to be detected and treated at an early stage for recovery. Early signs of the disease in children include fever and bruising which can go unnoticed during...
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The exponential growth of online videos imposes urgent demands on near-duplicate video detection. Near-duplicate keyframe detection is at the base of near-duplicate video detection. In this paper, based on the analysis of the state-of-the-art of near-duplicate keyframe detection, GrayScale Pyramid (GSP) is processed for improving the global feature of color histogram. By constructing the spatial pyramid...
Recently, RGB-D sensors such as Kinect and Xtion have received considerable attention since they provide depth image that is robust to light variation in the environment. They are mainly used for human computer interaction, surveillance and so on. In this paper, we concentrate on indoor human detection using RGB-D images. Some RGB image based features such as histogram of oriented gradient (HOG) and...
Visual tracking is a vital task of computer vision, and becoming the basis of automated video surveillance. In this paper, we propose a novel tracking method which integrates two complementary trackers together, tracker A based on global appearance and tracker B based on a dynamic set of local features of the tracked object. Tracker A, an enhanced mean-shift tracker using the posterior probability...
Text location from natural scene images is very challenging due to variations in text fonts, color, alignment and illumination. In order to deal with this problem, a novel method of scene text location is proposed. Firstly, gradient difference is introduced to detect text regions, because it can capture the texture various in the local regions. Secondly, a stroke width based verification step is employed...
Recently, Content Based Image Retrieval (CBIR) has received a great attention by researchers. It becomes one of the most interesting topic in computer vision and image processing. CBIR image can be represent by local or global features. The entire image is described in the case of global features by using a novel descriptor called Upper-Lower of Local Binary Pattern (UL-LBP) based on Local Binary...
This paper presents a novel quantized gradient based local feature descriptor, named Local Quantized Gradient Direction (LQGD) descriptor and the subsequent Partitioned Gradient Histogram, for facial image representation. The 8 bit LQGD descriptor accommodates eight levels quantized gradient magnitude and direction information from the horizontal and vertical gradients at local facial image pixels...
Object recognition is one of the research areas which has always attracted the attention of the researchers and research community because of its varied application in automation, biometrics, medical diagnosis, surveillance and security systems, defence, Content-based Image Retrieval (CBIR), robotics and intelligent vehicle systems. Though a vigorous research is going on in this field but issues like...
In this paper, we propose a color image processing method based on a finite field cosine transform (FFCT). Basically, the approach consists in applying a 32-point FFCT over GF(224) to blocks of a color image. Since RGB images are considered, each pixel of the corresponding image blocks can be represented as a binary 24-tuple and then treated as an element of GF(224). By means of computer experiments,...
This paper introduces a new object tracking method which combines two algorithms working in parallel, and based on low-level observations (colour and gradient orientation): the Generalised Hough Transform, using a pixel-based description, and the Particle Filter, using a global description. The object model is updated by combining information from a back-projection map computed from the Generalised...
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