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In this work, a new methodology is proposed for probability mass assignment to be used in Dempster-Shafer approach. The approach is developed for the cases where the prior and the current information are represented by probability density functions. Masses are assigned by comparing the prior and the current probability density functions which are assumed to be Gaussian. The proposed method is tested...
Usage of 3th dimension information obtained from depth sensors in human action recognition has gained importance in the recent years. In this study, basic human actions are tried to recognize on a human model derived from RGBD sensor. Joint angles and joint displacements used as time series and feature extraction from times series is applied to recognize actions. Actions are classified with the random...
In this paper, a low computational load based region covariance descriptor (RCD) approach has been proposed. The proposed method is based on using fewer feature vectors on construction of RCD. Number of feature vectors is reduced by utilizing the random pixel decimation pattern. By making use of the proposed method, fast covariance descriptor based object tracking has been carried out. As can be seen...
Recognition of video scenes is a challenging problem due to the unconstrained structure of the video content. Here, we propose a spatial pyramid based method for the recognition of video scenes and explore the effect of parameter optimization to the recognition accuracy. In the experiments different sampling methods, dictionary sizes, kernel methods, and pyramid levels are examined. Support Vector...
Glasses detection is one of attractive tasks in image processing since it increases the performance of face recognition systems. In this study, we aimed to detect the glasses on face images automatically. In order to do this, we trained a classifier with Labelled Faces in the Wild Home(LFW) dataset to decide whether a person wear glasses or not on face images. Before classification process, image...
This paper presents a pattern recognition approach which is developed for biometric identification using individual's knuckle prints. In this approach, initially palm images are segmented with active appearance models and regions of interest (knuckle prints) are extracted with using analytical processing. Afterwards, the patterns of knuckle prints are extracted by combining these regions. First, discrete...
In this paper, a Mean Shift based target tracking approach for infrared image sequences is proposed. Well known Mean Shift method tracks a target in the image using its color histogram. But this approach can fail in infrared image sequences due to several reasons like illuminance variation. However it is possible to improve the performance of Mean Shift approach by using different features. In this...
As an increasing number of digital images are generated, a demand for an efficient and effective image retrieval mechanisms grows. In this work, we present a new skeleton-based shape retrieval algorithm, which starts by drawing circles of increasing radius around skeleton points. Since each skeleton corresponds to the center of a maximally inscribed circle, this process results in circles that are...
In this work, we survey the performance of various feature encoding models for geographic image retrieval task. Recently introduced Vector-of-Locally-Aggregated Descriptors (VLAD) and its Product Quantization encoded binary version VLAD-PQ are compared with the widely used Bag-of-Word (BoW) model. Evaluation results are shown on a publicly available 21-class LULC dataset. With experiments, it is shown...
The devices such as mouse, keyboard used for controlling of computer have various limitations. The users must make physical contact with the devices and have a restricted away because of connection with wire to control computer by using these devices. Traditional communication devices for computer-person can't provide user wireless computer control without any physical. Inthis study, Computer monitoring...
Lorentzian space is used in Mathematics and Physics. This space has also potential applications in pattern recognition because of its special characteristics. Lorentz space has different characteristics and different inner product definition than Euclidean space; therefore distances between points are calculated in a different way. In this study, contribution of this space to the classification problem...
A biometric system provides automatic identification of individuals based on a unique feature or characteristic of the individuals. Palmprint biometric system has an important place among biometric identification systems because of its advantages. In this study, Gray Level Co-Occurence Matrix based palmprint recognition system which provides successful results for tissue type of image identifying...
In recent years, human-computer interaction systems are become one of the most exciting areas in technological development. These systems aim to obtain personal information of people and development of an automated systems managed by this information. In this study, we have been studied a faster and higher accurate system design without feature extraction for the recognition of daily human activities...
Classifier performance is very important to give right decision above the data. Re-sampling methods, such as Jacknife, cross validation, are statistical methods to measure of classifier performance. The modified classifiers by using training set test with unused data in the training set, and introduce their performance results. The training and test sets are randomly selected to avoid the between...
Edge detection is most popular problem in image analysis. To develop an edge detection method that has efficient computation time, sensing to noise as minimum level and extracting meaningful edges from the image, so that many crowded edge detection algorithms have emerged in this area. The different derivative operators and possible different scales are needed in order to properly determine all meaningful...
Fig is one of the major agricultural products which contribute to Turkey's economy. The existence of mold and aflatoxin concentrations in figs, like other agricultural products, negatively affects fig exports. Therefore, figs are manually sorted by workers in factories under ultraviolet illumination (UV) by considering the bright greenish yellow fluorescence they expose under UV light. However, manual...
This paper describes an adaptive fusion human-machine system supporting an analyst in recognizing threat. The system is designed in the framework of Transferable Belief Model for processing complex unreliable and uncertain data streams coming from multiple sources to improve threat recognition and detect new “unknown” threat. The focus of the paper is on the latter: designing a method of detection...
Detection of the topographical pattern is a challenging area in the field of astronomy and atmospheric science. An improvement is required, in the existing algorithms for the detection of topographical patterns because of the pattern complexity and detection rate. From the satellite, daily about 500 images are transmitted to ground station with resolution ranging from 5–100 meters. The transmission...
In this paper, three moment invariants techniques have been used to extract the shape properties of the image. There are geometric moment, zernike moment and united moment invariants. These moment invariants have been used to analyze the image due to its invariant features of an image based on scaling factor and rotation. A set of equations known as intra-class analysis has been applied to measure...
Subscriber churn is a concern of customer care management for most of the mobile and wireless service providers and operators due to its associated costs. This paper explains our work on subscriber churn analysis and prediction for such services. We work on data mining techniques to accurately and efficiently predict subscribers who will change-and-turn (churn) to another provider for the same or...
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