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Texture is one of the significant ubiquitous image characteristics in an image. Texture classification approach is an important tool for many computer vision applications such as image retrievel, remote sensing, object recognition and many more. This paper presents a novel and simple texture classification system for colour textures by using patch based energy features from its gray scale image. The...
Vehicle Tracking and positioning in GSM networkwith greater accuracy is one of the major popular research topics of Intelligence transportation System and it pass on with the evolution of techniques and methods which enable the data processor to learn and execute activities with the help of Machine learning. Support Vector Machine (SVM) is an isolated classifier which deals with both linear and nonlinear...
The existing face liveness detection algorithms have satisfying performance on spoofing photos by detecting the biological motion, including eye blinking, head rotation and mouth movement. However, the biological motions can be simulated by using video, which is called a video playback attack. This paper proposes a countermeasure to a video playback attack by analyzing the detail of hair using the...
Facial expression is a significant key for interpersonal relations where non verbal cues are conveyed from person to person. Automated recognition of facial expression plays an important role in widely of applications such as human-computer interaction, data-driven animation, clinical practice and behavioral science. In this study a novel and efficient automated recognition of facial expression system...
The recent advances in microelectronics and related fields have made the dream of intelligent spaces and objects come true. Reduction of technology costs, powerconsumption and form factor is enabling to exploit increased processing capabilities of sensor nodes and to distribute the intelligence in the environment. In this paper, significant examples of on-going research on smart environments, sensorized...
The leading cause of cancer mortality among women arises due to breast cancer. Digital mammogram plays an important role for cancer diagnosis. The early sign of breast cancer is the appearance of microcalcifications clusters on mammogram images. An efficient method to classify the microcalcification severity is presented in this paper. Tetrolet transform also named as adaptive Haar transform is utilized...
Malicious Android applications are a seriously problem due to the large share of the Android operating system market and also the flexibility of Android. An application should be checked before installing to a phone to avoid the privacy information leak. This paper proposes a static android malware detection method by using not only the permission but also the package of an Android application. The...
Classifier fusion methods are usually used to combine multiple classification decisions and generate better classification results than any single classifier. In order to improve object classification accuracy, it is a common method to assign weights to classifiers based on their importance in a multiple decision system. In this paper we put forward a method to weight different classifiers in classifier...
The accurate node location is necessary for wireless sensor network applications in both the military and civilian areas. In this paper, we use the Cramer-Rao Bound (CRB) to verify that node localization algorithms based on received signal strength (RSS) and time of arrival (TOA) are both reasonable. The varying number of blindfolded nodes as well as the hybrid of RSS and TOA ranging methods are used...
Many combinatorial problems in fields such as object tracking involve reasoning over correspondence, e.g., calculating the probability that a measurement belongs to a particular track. Recent studies have shown that loopy belief propagation (LBP) provides a highly desirable option in the trade-off between accuracy and computational complexity in this task. LBP can be understood as a particular method...
The cost associated with manually labeling every individual instance in large datasets is prohibitive. Significant labeling efforts can be saved by assigning a collective label to a group of instances (a bag). This setup prompts the need for algorithms that allow labeling individual instances (instance annotation) based on bag-level labels. Probabilistic models in which instance-level labels are latent...
In this work, we present a novel method for accurate affine transformation estimation of image regions. We illustrate the benefits of using such a method in a point matching mechanism that enables locating large amount of point matches with high geometric precision and low rate of false matches. Recent publications have shown that considering the affine transformation model of local regions, is extremely...
Background subtraction is widely used in battery-operated surveillance system. In the system, memory requirement and computational complexity are important issues due to a constraint of the hardware resource. We propose memory-efficient and low computational complexity background subtraction algorithm based on multi-background registration (MBR) technique algorithm.
Measurements are ever increasingly ubiquitous, playing a central role in a wide variety of applications. However, the capabilities of any measurement device (e.g., sensitivity, resolution, dynamic range, reliability, etc.) are directly related to the deployed measurement resources/cost (e.g., size, weight, power, etc.), almost all information acquisition systems experience a tradeoff among competing...
Face recognition and verification is still a challenging problem due to several issues such as pose, facial expression, occlusion, imaging conditions, rotation, size and orientation. This paper addresses the problem of recognizing human faces despite the presence in pose and size variation. To handle these problems, we mainly focus on block size definition. Instead of uniform block we thus propose...
The goal of any automated requirement prioritization process is to reduce the difference between the true and estimated ranking. It is arguable that to what extent, using stakeholders' feedback will reduce that difference. Moreover, incorporating requirement ranking functions such as value, cost, risk, etc. along with the feedback is another concern. This paper proposes a scheme for requirement prioritization...
This paper presents an improved algorithm for mitigating non-line-of-sight (NLOS) error in time-difference-of-arrival (TDOA) positioning applications employing ultra wideband (UWB) signals. The main idea of the algorithm is based on calculating the residuals for the different subsets formed by the reference nodes. The final estimate is a linear summation of the estimate from the different sets weighted...
In software quality research, software defect prediction is a key topic. The characteristics of software attributes influences the performance and effectiveness of the defect prediction model. However this issue is not well explored to the best of our knowledge. Thus we focus on the problem of attribute selection in the context of software defect prediction here and hence in this research, we propose...
We propose in this paper, Face2Mus, a mobile application that streams music from online radio stations after identifying the user's emotions, without interfering with the device's usage. Face2Mus streams songs from online radio stations and classifies them into emotion classes based on audio features using an energy aware support vector machine (SVM) classifier. In parallel, the application captures...
This paper focuses on respiratory phase detection and classification without the help of the airflow measurements. Instead of using the airflow measurements to identify breathing phases, the proposed work depends on advanced digital signal processing techniques to process the acoustic signal of respiration that was collected using a microphone placed in front of the subject's nose. The recorded signal...
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