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Automatic activity estimation is one of the testing issues in movement control frameworks. The moving items from video succession are separated in visual reconnaissance. Tracking the moving object during the dark time is the primary goal of the research by discrete the foundation from the frontal area in any video. Thought is to assemble the programmed movement estimation, which can be substantially...
This paper describes the searching problem of images stored in big databases i.e. content based image retrieval (CBIR) system. It represents the behaviour and proposes solution for it. In general vast deployment in various applications therefore the capacity of image database increases because it's needed efficient CBIR method. This paper uses the primary image features like colour, shape and texture...
The paper proposes a dynamic shape context retrieval algorithm based on statistic. It selects shape's feature point's number dynamically, and statistics the number of target shape's feature points in different area block to form a contour feature point histogram. Finally, measuring the similarity is used dynamic programming algorithm. This method can selects the number of feature points adaptively,...
We propose a novel univariate time series decomposition algorithm to partition temporal sequences into homogeneous segments. Unlike most existing temporal segmentation approaches, which generally build statistical models of temporal observations and then detect change points using inference or hypothesis testing techniques, our algorithm requires no domain knowledge, is insensitive to the choice of...
The problems of accuracy and computational complexity in extracting image features(color, texture and shape) in traditional Image retrieval algorithm result in a bigger error of image retrieval result and the lower efficiency of retrieval. A Content-Based Multi-Feature Comprehensively Weighting Video-Image Retrieval Algorithm is proposed to settle the problem. The essence of the algorithm is, set...
Although numerous clustering algorithms can be found in literature, most of existing algorithms require one or more parameters as input, and their clustering performance usually depends heavily on user-specified parameters. Although some methods have been proposed to determine these parameters automatically, the parameter-tuning problem is still open in general. As a graph-theoretic approach to clustering,...
Near duplicate image detection needs the matching of a bit altered images to the original image. This will help in the detection of forged images. A great deal of effort has been dedicated to visual applications that need efficient image similarity metrics and signature. Digital images can be easily edited and manipulated owing to the great functionality of image processing software. This leads to...
The work is devoted to the problem of weld segmentation in modern methods for evaluating the quality of welds. One of the methods of the weld quality evaluation is visual inspection. This work deals with the possibility of implementing algorithms of recognition and evaluation of welds using visual system in single-board computers. Result of this paper is computing time comparison of chosen embedded...
In the field of Digital Image Processing Content Based Image Retrieval is becoming very popular. Google and Yahoo have tools on Digital Image Processing. They are known to be Google Images and Yahoo! Images Search. They are based on textual annotation of images. In textual annotations with the help of keywords images are retrieved. This is not very much effective approach as their performances are...
Reservoirs are the porous and permeable rocks that contain commercial deposits of hydrocarbons. Porosity is a very important property of reservoirs. This paper presents a method of determining the porosities of different types of rocks based on image analysis. Stereological research for analysis of porosity were conducted by traditional methods before image analysis which were time consuming and lacked...
This paper presents a new edge based local feature descriptor, for age group recognition, named Positional Ternary Pattern (PTP). PTP code inherits the craniofacial shape, along with wrinkle and micro texture pattern, which proves its preeminence in aging process.
We propose an adaptive approach to 3-D object classification. In this approach appropriate 3-D feature descriptor algorithms for 3-D point clouds are selected via reinforcement learning depending on properties of the objects to be classified. This approach is supposed to be able to learn strategies for an advantageous selection of 3-D point cloud descriptor algorithms in an autonomous and adaptive...
This paper presents a method to analyse 3D planar surfaces and to measure variations on it. The method is oriented to the detection of deformations on the elastic object surfaces formed by flat faces. These deformations are usually caused when two bodies, a solid and another elastic object, come in contact and there are contact pressures among their faces. Our method describes a strategy to model...
Gender classification using facial features has attracted researchers attention recently. Gender classification using texture features of faces exhibited promising improvement over other facial features. Gender classification finds applications in systems which use gender as one of the parameters. Local Binary Patterns (LBP) are known to have good texture representation properties. Through this paper...
Recently, there are increasing interests in inferring mirco-expression from facial image sequences. For micro-expression recognition, feature extraction is an important critical issue. In this paper, we proposes a novel framework based on a new spatiotemporal facial representation to analyze micro-expressions with subtle facial movement. Firstly, an integral projection method based on difference images...
Major percentage of car accidents occur during nighttime due to the lack of sunlight, making it difficult to see external factors like control devices, traffic flow and road markings between the vehicle and its surroundings.
Nowadays information retrieval systems get more attention due to the increasing use of multimedia technologies. The information may be in the form of video, image, sound and/or text. Application of surveillance, digital libraries, web applications and various other applications that handle enormous volume of data essentially have information retrieval components. This paper demonstrates an image retrieval...
Since last few years, Content Base Image Retrieval (CBIR) system has got more attention from its generic to specific use. CBIR depends upon visual low-level feature extraction i-e color, texture, shape and spatial layout. In this paper, a Local Binary Patterns (LBP) has been employed for texture analysis of image and also it is compared with average RGB color image descriptor method. And then a complementary...
This paper presents a method for extracting a new feature descriptor, named Partial Dominant Orientation Descriptor (PDOD), which can be used to perform reliable matching between objects with similar as well as different textures. The object is represented by a set of key locations of stable points using Difference of Gaussian, so that the matching can proceed successfully despite changes in viewpoint,...
Motion trajectories provide a meaningful clue in motion characterization of humans, robots, and moving objects. This paper addresses motion trajectory recognition by exploring local self-similarities of motion trajectories over time. Such temporal self-similarities within a motion trajectory are observed by building a Self-Similarity Matrix (SSM) based on the sigmoid distances between all pairs of...
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