2018 IEEE 3rd International Conference on Signal and Image Processing (ICSIP)

13-15 July 2018

Filter Results

Displaying Results 1 - 25 of 118
  • [Front cover]

    Publication Year: 2018, Page(s): c1
    Request permission for reuse | PDF file iconPDF (1858 KB)
    Freely Available from IEEE
  • [Front cover]

    Publication Year: 2018, Page(s): c1
    Request permission for reuse | PDF file iconPDF (274 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2018, Page(s): i
    Request permission for reuse | PDF file iconPDF (1306 KB)
    Freely Available from IEEE
  • ICSIP 2018 TOC

    Publication Year: 2018, Page(s):iii - xi
    Request permission for reuse | PDF file iconPDF (1498 KB)
    Freely Available from IEEE
  • The Two-Directional 2DPCA Based Method Improved for Face Recognition in Modules

    Publication Year: 2018, Page(s):1 - 6
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2079 KB) | HTML iconHTML

    In this paper, the improved face recognition method based on two-directional 2DPCA (two-dimensional principal component analysis) in each block of face images is proposed. Firstly, the face image is divided into several sub-images, and then the sub-image features of each corresponding block are extracted by two-directional 2DPCA according to the number of sub-images. Finally, using the support vec... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Towards 3D Human Action Recognition Using a Distilled CNN Model

    Publication Year: 2018, Page(s):7 - 12
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2385 KB) | HTML iconHTML

    Motivated by the remarkable performance achieved using deep learning strategies in solving action recognition tasks, an effective, yet simple method is proposed for encoding the spatiotemporal information of skeleton sequences into color texture images, referred to as Skeletal Optical Flows (SOFs). SOFs collectively represent the kinetic energy, predefined angles and pair-wise displacements betwee... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Facial Expression Recognition Based on G-2DPCA Feature and Sparse Representation Classification

    Publication Year: 2018, Page(s):13 - 18
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1015 KB) | HTML iconHTML

    In this paper, we proposed an effective method of facial expression recognition based on a G-2DPCA feature and Sparse Representation-based Classification (SRC). Gabor filters with five scales and eight directions are first employed for feature extraction. To address the high dimension of Gabor features, we select one out of forty Gabor filters with an optimal parameter pair of scales and direction... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Real-time Multi-view Bimanual Gesture Recognition

    Publication Year: 2018, Page(s):19 - 23
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (4772 KB) | HTML iconHTML

    This paper presents a learning-based solution to tackle the real-time gesture recognition of bimanual (two hands) gestures which is not well studied from the literature. To overcome the critical issue of hand-hand self-occlusion problem common in bimanual gestures, multiple cameras from diversified views are used. A tailored multi-camera system is constructed to acquire multi-views bimanual gestur... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The Neuron Circuit with Property of Sensitization or Habituation Based on Threshold Switch Devices

    Publication Year: 2018, Page(s):24 - 27
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1013 KB) | HTML iconHTML

    Brain-inspired computing is an efficient method to implement artificial neural network, which is the foundation of artificial intelligence. In the brain-inspired computing, neuron circuits play an important role in information processing and computing. But in recent researches, most efforts have been paid to improve the calculating performance with the cost of adding more functions. Nonetheless, t... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Disguised Facial Recognition Using Neural Networks

    Publication Year: 2018, Page(s):28 - 32
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (4531 KB) | HTML iconHTML

    In this paper, we present a real-time deep neural network architecture (called DiFRuNNT) for disguised face verification. The proposed model consists of two neural networks, first one being a convolutional neural network (CNN) that predicts 20 facial key-points in the image and the second neural network classifies the subject based on the angles and ratios calculated from the predicted points. The... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Abnormal Human Activity Recognition using Bayes Classifier and Convolutional Neural Network

    Publication Year: 2018, Page(s):33 - 37
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1177 KB) | HTML iconHTML

    This paper introduces a method of abnormal human activity recognition in surveillance video. The method uses Bayes Classifier and Convolutional Neural Network to detect four activities, including walking, running, punching and tripping. KTH dataset is used as the input of Bayes Classifier and Convolutional Neural Network. Moving human target in each frame is detected by Kalman Filter and three fea... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Novel Body Posture Recognition System on Bed

    Publication Year: 2018, Page(s):38 - 42
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1177 KB) | HTML iconHTML

    Diseases such as positional obstructive sleep apnea and pressure sores are closely related to body postures on a bed. To estimate body postures reliably and comfortably, we proposed a novel classification system using unconstrained measurements of ballistocardiogram (BCG) signals. A flexiblepiezo-electric polymer film sensor was embedded in a mattress to collect BCG data. The amplitude features ba... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Generic Approach CNN-Based Camera Identification for Manipulated Images

    Publication Year: 2018, Page(s):43 - 48
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1941 KB) | HTML iconHTML

    Camera model identification has been attracting a lot of attention lately, as a powerful forensic method. With the promising breakthroughs in the artificial intelligence applications, such systems were revisited to increase the expected accuracy or to solve the still persisting deadlocks. One of the most still-to-be-solved dilemmas is the image manipulations effect on the overall accuracy of the i... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Analysis of Depression Based on Facial Cues on A Captured Motion Picture

    Publication Year: 2018, Page(s):49 - 54
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (964 KB) | HTML iconHTML

    Depression is one of the causes of suicide in the world next to other health issues that makes up an alarming point of mortality living in this lifetime. Melancholy that in the field of computer vision and signal processing has been tackled in various ways. Thus, this paper presents the classification model of detecting depression based on local binary pattern (LBP) texture features an image proce... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A New Image Denoising Method Based on Wavelet Multi-scale Registration Fusion

    Publication Year: 2018, Page(s):55 - 60
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (1010 KB) | HTML iconHTML

    Image denoising is an eternal research topic. In this paper, a new image denoising method based on wavelet multiscale registration fusion is proposed to solve the problem that it is easy to lose the edge and texture details of the image in the denoising process. First of all, we can get multiple sets of wavelet coefficients by using different wavelet bases to decompose the same noisy image. Then, ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Image Deblurring Algorithm Based on Dictionary Learning

    Publication Year: 2018, Page(s):61 - 65
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (3080 KB) | HTML iconHTML

    In order to improve the quality and visual effects of blurred images, we proposes an image deblurring algorithm based on dictionary learning. Firstly, we divides the blurred image into image block structure groups, then we recovers the image block through the K-SVD dictionary and the PCA dictionary, and finally the morphological operations is applied to the difference image to obtain restored imag... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A Fractional-order Differential Based Variational Model for Image Blind Deblurring

    Publication Year: 2018, Page(s):66 - 70
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (3332 KB) | HTML iconHTML

    Image deblurring is a fundamental problem in image processing. The blind deblurring is a more challenge problem because we need to recover the true image but the blur type is unknown. The total variation method has been proposed by Tony Chan et al. [1] for image blind deblurring, but it often produces the staircase effect. To avoid this effect, in this paper, based on the fractional-order differen... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Augmented Lagrangian Method for the Patch-based Gaussian Mixture Model In Image Deblurring

    Publication Year: 2018, Page(s):71 - 75
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2794 KB) | HTML iconHTML

    Since the image deblurring problem is ill-conditioned, a good regularization term can improve the quality of the deblurred result greatly. The expected patch log likelihood (EPLL) is a patch-based regularization prior working with small image patches, it has been shown to be effective and achieves good performance for image deblurring. However, in the EPLL method, it needs the auxiliary parameter ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Non-Local Means with Steer Search Window and Adaptive Parameter

    Publication Year: 2018, Page(s):76 - 80
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2981 KB) | HTML iconHTML

    The non-local means(NLM) algorithm is an effective image denoising method, and many variants have been proposed in NLM. However, the search window in most variants is always square which is highly likely to introduce irrelevant sample pixels in denoising. To this end, motivated by steering kernel, an elliptical search window that is defined along the local edge structure is adopted, as well as the... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Patch-Based Approach for the Fusion of Low-Light Image Pairs

    Publication Year: 2018, Page(s):81 - 85
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (3048 KB) | HTML iconHTML

    When taking pictures in a low-light scene with artificial lighting, we often encounter the following problem: we can use short exposure setting which yields a dim, noise image but with a sharp outline, or we can use a longer exposure setting which yields a bright, saturated image but with blurred areas. In many cases, none of those images is good enough. Good brightness and color information are r... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Research on Functional Brain Networks Topological Properties by Real-time Fmri Emotion Self-regulation Training

    Publication Year: 2018, Page(s):86 - 90
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2908 KB) | HTML iconHTML

    Various neuroimaging studies had demonstrated that multiple brain regions would activate during execute cognitive task. Meanwhile, Real-time functional magnetic resonance imaging neurofeedback (rtfMRI-NF) can assist subject self-regulation brain activity. However, the neural mechanisms about rtfMRI-NF were unclear. To investigate this problem, we combined graph theory with resting state fMRI to ex... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Real-time Path Planning Based on IRRT Algorithm in 3D Environment

    Publication Year: 2018, Page(s):91 - 96
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2659 KB) | HTML iconHTML

    This paper presents a real-time path planning method for unmanned aerial vehicles(UAVs) navigation in 3D environment. In this study, 3D point clouds are processed into octomap, which is the octree-based 3D map representation of environment and is a probabilistic representation of occupancy including free and unknown areas. Rapidly-exploring random tree is improved by introducing the random probabi... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Analytical Imaging Algorithm for Parallel Invariant SAR

    Publication Year: 2018, Page(s):97 - 100
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2034 KB) | HTML iconHTML

    This paper discusses the processing method for parallel invariant SAR, and an analytical imaging algorithm based on GLBF is proposed. The bulk focusing is performed by reference function multiplication (RFM), then the range scaling factor is derived and further corrected by Chirp-z transform (CZT). The algorithm can be applied to wide scene imaging with the derived data blocking rules. The propose... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Long Baseline Linear Array SAR Signal Reconstruction and Imaging

    Publication Year: 2018, Page(s):101 - 105
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2015 KB) | HTML iconHTML

    Due to the minimum antenna area constraint, conventional single-satellite SAR cannot obtain the image with wide swaths as well as high-resolution. This problem can be solved by using single-platform multi-phase center SAR or constellation SAR, which divides the large antenna into small antennas. Compared with single-platform multi-phase center SAR, there are several advantages but also challenges ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Research on Emergency Evacuation Simulation System in Three-Dimensional Tunnel

    Publication Year: 2018, Page(s):106 - 110
    Request permission for reuse | Click to expandAbstract | PDF file iconPDF (2112 KB) | HTML iconHTML

    Emergency evacuation simulation is an important measure to effectively avoid personnel deaths and injuries. In view of the safe evacuation in underground tunnels, an emergency evacuation simulation system for personnel in three-dimensional tunnel is put forward. According to the different conditions encountered by the Agent in the tunnel, the behavior of the Agent is set and visualized. Through th... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.