• Title/Summary/Keyword: hidden image

Search Result 340, Processing Time 0.025 seconds

Robust Video-Based Barcode Recognition via Online Sequential Filtering

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.14 no.1
    • /
    • pp.8-16
    • /
    • 2014
  • We consider the visual barcode recognition problem in a noisy video data setup. Unlike most existing single-frame recognizers that require considerable user effort to acquire clean, motionless and blur-free barcode signals, we eliminate such extra human efforts by proposing a robust video-based barcode recognition algorithm. We deal with a sequence of noisy blurred barcode image frames by posing it as an online filtering problem. In the proposed dynamic recognition model, at each frame we infer the blur level of the frame as well as the digit class label. In contrast to a frame-by-frame based approach with heuristic majority voting scheme, the class labels and frame-wise noise levels are propagated along the frame sequences in our model, and hence we exploit all cues from noisy frames that are potentially useful for predicting the barcode label in a probabilistically reasonable sense. We also suggest a visual barcode tracking approach that efficiently localizes barcode areas in video frames. The effectiveness of the proposed approaches is demonstrated empirically on both synthetic and real data setup.

The Meaning of Water in Contemporary Fashion -Viewed as Human Desire- (현대패션에 나타난 물의의미 -인간의 욕망을 중심으로-)

  • 임영자
    • Journal of the Korean Society of Costume
    • /
    • v.43
    • /
    • pp.53-68
    • /
    • 1999
  • Water allows us to have artistic experiences of searching for the source of hints and techniques by bring about the emergence of the new representation new themes and new forms of arts. The water that holds a great deal of hidden meaning shape the image. This study attempted to investigate what mental relationship the concept of water had the mental phenomenon of water in hea-sang-kun-sun-do in terms of the event of contemporary fashion in the present-day age. This means the stream of thought to grope a new paradign of multi-cultruism that claims the coexistence of East and West civilizations in the contemporary civilization. The meaning of water is developed fabrics connected with the water and the water emerge the issue in contemporary fashion. And the concept of water as the meaning concept is used as the tool to represent a certain issue in silhouette and fabrics not only the introduction as substantial water into fashion giving the fashion designer's emotion to shape and representing the fashion designer's aesthetic needs by emphasizing with the designer.

  • PDF

Gesture Recognition in Video image with Combination of Partial and Global Information (로컬 모션정보와 글로벌 모션정보를 조합한 제스쳐 인식)

  • 오재용;이칠우
    • Proceedings of the Korea Multimedia Society Conference
    • /
    • 2004.05a
    • /
    • pp.279-283
    • /
    • 2004
  • 본 논문에서는 일반적인 비디오 스트림에서 자동으로 인간의 제스처를 인식하는 알고리즘에 대하여 기술한다. 본 알고리즘은 입력된 비디오 영상으로부터 추출된 신체영역의 2차원적 특징 벡터를 사용하며, 주성분 분석법(Principle Component Analysis)을 통하여 모델 제스처 공간(Model Gesture space)을 구성함으로서 제스처를 통계학적으로 분석/표현하며, 이 제스처 공간에서 새로 입력되는 영상을 같은 방법으로 투영시키고, HMM(Hidden Markov Model) 이론을 적용하여 심볼화함으로써 최종적으로 제스처를 인식하게 된다. 본 방법은 기존의 제스처 인식 방법들과는 달리 전체적인 영상 정보(Global Information)와 세부적인 영상 정보(Partial Information)를 조합하여 사용한다는데 특징이 있으며, 본 알고리즘을 통해 보다 정확하게 강건한 제스처 인식 기술을 실생활에 적용할 수 있을 것이다.

  • PDF

Emotional Human Body Recognition by Using Extraction of Human Body from Image (인간의 움직임 추출을 이용한 감정적인 행동 인식 시스템 개발)

  • Song, Min-Kook;Park, Jin-Bae;So, Je-Yoon;Joo, Young-Hoon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2006.11a
    • /
    • pp.348-351
    • /
    • 2006
  • 영상을 통한 감정 인식 기술은 사회의 여러 분야에서 필요성이 대두되고 있음에도 불구하고 인식 과정의 어려움으로 인해 풀리지 않는 문제로 남아 있다. 인간의 움직임을 이용한 감정 인식 기술은 많은 응용이 가능하기 때문에 개발의 필요성이 증대되고 있다. 영상을 통해 감정을 인식하는 시스템은 매우 다양한 기법들이 사용되는 복합적인 시스템이다. 본 논문에서는 이전에 연구된 움직임 추출 방법들을 바탕으로 한 새로운 감정 인식 시스템을 제안한다. 제안된 시스템은 은닉 마르코프 모델을 통해 동정된 분류기를 이용하여 감정을 인식한다. 제안된 시스템의 성능을 평가하기 위해 평가데이터 베이스가 구축되었으며, 이를 통해 제안된 감정 인식 시스템의 성능을 확인하였다.

  • PDF

Review of Photoacoustic Imaging for Imaging-Guided Spinal Surgery

  • Han, Seung Hee
    • Neurospine
    • /
    • v.15 no.4
    • /
    • pp.306-322
    • /
    • 2018
  • This review introduces the current technique of photoacoustic imaging as it is applied in imaging-guided surgery (IGS), which provides the surgeon with image visualization and analysis capabilities during surgery. Numerous imaging techniques have been developed to help surgeons perform complex operations more safely and quickly. Although surgeons typically use these kinds of images to visualize targets hidden by bone and other tissues, it is nonetheless more difficult to perform surgery with static reference images (e.g., computed tomography scans and magnetic resonance images) of internal structures. Photoacoustic imaging could enable real-time visualization of regions of interest during surgery. Several researchers have shown that photoacoustic imaging has potential for the noninvasive diagnosis of various types of tissues, including bone. Previous studies of the surgical application of photoacoustic imaging have focused on cancer surgery, but photoacoustic imaging has also recently attracted interest for spinal surgery, because it could be useful for avoiding pedicle breaches and for choosing an appropriate starting point before drilling or pedicle probe insertion. This review describes the current instruments and clinical applications of photoacoustic imaging. Its primary objective is to provide a comprehensive overview of photoacoustic IGS in spinal surgery.

A Block-Based Adaptive Data Hiding Approach Using Pixel Value Difference and LSB Substitution to Secure E-Governance Documents

  • Halder, Tanmoy;Karforma, Sunil;Mandal, Rupali
    • Journal of Information Processing Systems
    • /
    • v.15 no.2
    • /
    • pp.261-270
    • /
    • 2019
  • In order to protect secret digital documents against vulnerabilities while communicating, steganography algorithms are applied. It protects a digital file from unauthorized access by hiding the entire content. Pixel-value-difference being a method from spatial domain steganography utilizes the difference gap between neighbor pixels to fulfill the same. The proposed approach is a block-wise embedding process where blocks of variable size are chosen from the cover image, therefore, a stream of secret digital contents is hidden. Least significant bit (LSB) substitution method is applied as an adaptive mechanism and optimal pixel adjustment process (OPAP) is used to minimize the error rate. The proposed application succeeds to maintain good hiding capacity and better signal-to-noise ratio when compared against other existing methods. Any means of digital communication specially e-Governance applications could be highly benefited from this approach.

Improve object recognition using UWB SAR imaging with compressed sensing

  • Pham, The Hien;Hong, Ic-Pyo
    • Journal of IKEEE
    • /
    • v.25 no.1
    • /
    • pp.76-82
    • /
    • 2021
  • In this paper, the compressed sensing basic pursuit denoise algorithm adopted to synthetic aperture radar imaging is investigated to improve the object recognition. From the incomplete data sets for image processing, the compressed sensing algorithm had been integrated to recover the data before the conventional back- projection algorithm was involved to obtain the synthetic aperture radar images. This method can lead to the reduction of measurement events while scanning the objects. An ultra-wideband radar scheme using a stripmap synthetic aperture radar algorithm was utilized to detect objects hidden behind the box. The Ultra-Wideband radar system with 3.1~4.8 GHz broadband and UWB antenna were implemented to transmit and receive signal data of two conductive cylinders located inside the paper box. The results confirmed that the images can be reconstructed by using a 30% randomly selected dataset without noticeable distortion compared to the images generated by full data using the conventional back-projection algorithm.

Comprehensive review on Clustering Techniques and its application on High Dimensional Data

  • Alam, Afroj;Muqeem, Mohd;Ahmad, Sultan
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.6
    • /
    • pp.237-244
    • /
    • 2021
  • Clustering is a most powerful un-supervised machine learning techniques for division of instances into homogenous group, which is called cluster. This Clustering is mainly used for generating a good quality of cluster through which we can discover hidden patterns and knowledge from the large datasets. It has huge application in different field like in medicine field, healthcare, gene-expression, image processing, agriculture, fraud detection, profitability analysis etc. The goal of this paper is to explore both hierarchical as well as partitioning clustering and understanding their problem with various approaches for their solution. Among different clustering K-means is better than other clustering due to its linear time complexity. Further this paper also focused on data mining that dealing with high-dimensional datasets with their problems and their existing approaches for their relevancy

Improved Accuracy in Neuromorphic Computing Based on IGZO Memristor Devices (IGZO 멤리스터 소자기반 뉴로모픽 컴퓨팅 정확도 향상)

  • Seojin Choi;Kyoungjin Min;Jonghwan Lee
    • Journal of the Semiconductor & Display Technology
    • /
    • v.22 no.4
    • /
    • pp.166-171
    • /
    • 2023
  • This paper presents the synaptic characteristics of IGZO memristors in neuromorphic computing, using MATLAB/Simulink and NeuroSim. In order to investigate the variations in the conductivity of IGZO memristor and the corresponding changes in the hidden layer, simulations are conducted by using the MNIST dataset. It was observed from simulation results that the recognition accuracy could be dependent on various parameters of IGZO memristor, along with the experimental exploration. Moreover, we identified optimal parameters to achieve high accuracy, showing an outstanding accuracy of 96.83% in image classification.

  • PDF

A Parameter-Free Approach for Clustering and Outlier Detection in Image Databases (이미지 데이터베이스에서 매개변수를 필요로 하지 않는 클러스터링 및 아웃라이어 검출 방법)

  • Oh, Hyun-Kyo;Yoon, Seok-Ho;Kim, Sang-Wook
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.47 no.1
    • /
    • pp.80-91
    • /
    • 2010
  • As the volume of image data increases dramatically, its good organization of image data is crucial for efficient image retrieval. Clustering is a typical way of organizing image data. However, traditional clustering methods have a difficulty of requiring a user to provide the number of clusters as a parameter before clustering. In this paper, we discuss an approach for clustering image data that does not require the parameter. Basically, the proposed approach is based on Cross-Association that finds a structure or patterns hidden in data using the relationship between individual objects. In order to apply Cross-Association to clustering of image data, we convert the image data into a graph first. Then, we perform Cross-Association on the graph thus obtained and interpret the results in the clustering perspective. We also propose the method of hierarchical clustering and the method of outlier detection based on Cross-Association. By performing a series of experiments, we verify the effectiveness of the proposed approach. Finally, we discuss the finding of a good value of k used in k-nearest neighbor search and also compare the clustering results with symmetric and asymmetric ways used in building a graph.