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A new approach for authentication of individuals is presented in this paper. Use of the veins of the dorsal hand using infrared imaging and extraction of knuckle tip information is done. The knuckle tips are used as control points for obtaining the region which we are interested in that is the region of interest. The vein pattern is extracted to locate the branching points from which the intersection...
For food application, recipe retrieval is an important task. However, many of them rely on only text query. Food image retrieval has relation to recipe retrieval so that similar food images are expected that they have similar recipes. Rising image retrieval performance is desired for recipe retrieval. On the other hand, to learn similarity by Siamese Network or Triplet Network are known as an effective...
This paper develops an advanced method to classify load-pull contours for the design of a broadband high-efficiency power amplifiers (PA) using the technique of a support vector machine (SVM). The classifier models for load-pull contours are verified through their accuracy in test and design validation. Comparisons reveal that the proposed method significantly outperforms commercial electronic design...
A vehicle detection method in tunnel video is proposed based on ViBe (Visual Background Extractor) algorithm. The proposed method consists of three steps: firstly, histogram equalization is used to preprocessing the video aiming at improving the quality of the video images; secondly, the classic ViBe algorithm is adopted to model the background and detect the moving vehicles; finally, morphological...
This paper presents VeinDeep, a system for using vein patterns to secure smartphones from opportunistic access, e.g. a device left unattended. VeinDeep takes advantage of infrared depth sensors, which at the time of writing have recently started to appear in smartphones for 3D indoor mapping and localisation. We find these sensors can be re-purposed to capture images of the unique vein patterns on...
Handwriting analysis is an approach to modeling human activities are to judge the human as a device with a large number of internal mental states which they have. The research builds on the observation that although human behaviors such as handwriting, speech, hand gestures and even American Sign Language. Handwriting work as an indicator, which indicates personality and behavior of humans, for example,...
The pattern recognition problem are mostly dealt through the process of clustering. Many important techniques used for clustering are based on similarity measures. The similarity measures are derived from distance measures. Therefore, for measuring the similarity between objects (Atanassov intuitionistic fuzzy set(AIFS)) researchers have applied several distance measures like normalized Euclidean...
Exploiting simple actions to recognize complex actions instead of using complex actions as training samples can save labor expenses and time consumption. Each complex action is composed of a sequence of simple actions and different manners of combinations of simple actions can form different complex actions. Thus, in this paper, we focus on temporal order information (TOI), which can be used to improve...
In this paper, we introduce a new color texture operator for natural texture classification, the Dominant and Minor Sum and Difference Histograms (DM-SDH) descriptor. The proposed approach allows to incorporate both color and texture information in order to enhance the texture discrimination performance. For this purpose, a vectorial representation of the image is used for the descriptor extraction...
Many of the existing plant species on the earth are still unknown. There are different kinds of plant species and it has been subject of interest on how to identify their species. However, the current practice to identify and distinguish each species is heavily dependent on botanists. It is inefficient and wasteful of resources in terms of time and money. Moreover, our human sensory system's limitation...
Sentiment prediction from visual content is a challenge due to the difficulty of inferring sentiment directly from the low-level visual features. Most recent researches use Adjective Noun Pairs (ANPs) as a middle level to narrow the gap between vision and sentiment. While as Convolutional Neural Networks (CNNs) is going deeper, it is becoming possible to implement rather complex mappings. In this...
With the development of image processing and computer vision technology, using gesture to communicate with the machine will not only appear in scientific move or just a conceptual product. Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. With this, we can have a more convenient life. Therefore, our...
For many industrial production processes obeying certain statistical laws, a new method of establishing a SISO control model is put forward based on pattern recognition technology. Firstly, k-means clustering algorithm is used to partition input and output data collected into several classes respectively. Secondly, the distance between two classes is described by the distance of the two class centers...
With commercial prosthetic hands, executing some everyday movements, for example, concurrent grasp and bending of the wrist to pick up an object from a high shelf, is very challenging. We hypothesised that after the loss of the hand, the flexibility of the nervous system enables prosthesis users to bypass the innate biomechanical constraints on upper-limb muscles and joints. We show that users are...
Hand shape classification is an important problem for the human computer interaction and the finger-spelling recognition. For this matter, what is needed is a real-time processing and scale invariance. To this end, we propose a feature vector for hand shape classification, which is fast, and robust to scale. The proposed method calculates an adaptive k-curvature which computes a curvature depending...
We propose the DeepPose-based pose estimation system that is flexible with the change of bounding-box range for top-view images. Our purpose is to link person detection system and pose estimation system. We introduce Bounding-box Curriculum Learning (BCL) and Recurrent Pose Estimation (RPE). BCL is a learning technique of CNN inspired from Curriculum Learning. RPE is a recurrent process of pose estimation...
Current research in computer vision and machine learning has demonstrated some great abilities at detecting and recognizing objects in natural images. The promising results in these areas have inspired research towards solving more complex multi-modal learning problems in the image/video domains such as automatic annotation, segmentation, labelling, and generic understanding. Although solutions have...
Document is unavailable: This DOI was registered to an article that was not presented by the author(s) at this conference. As per section 8.2.1.B.13 of IEEE's "Publication Services and Products Board Operations Manual," IEEE has chosen to exclude this article from distribution. We regret any inconvenience.
2D-video-based gait recognition techniques have been studied for decades, but there are still many challenges, one of which is the robustness against the variation of view angle. In this paper, the second generation Kinect (Kinect V2) is used as a tool to establish a 3D-skeleton-based gait database, which includes both 3D information of the skeleton joints and the corresponding 2D silhouette images...
In this paper, we propose a new facial landmarks detection method based on deep learning with facial contour and facial components constraints. The proposed deep convolutional neural networks (DCNNs) for facial landmark detection consists of two deep networks: one DCNN is to detect landmarks constrained on the facial contour and the other is to detect landmarks constrained on facial components. A...
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