• Title, Summary, Keyword: Mask Video

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Partially Occluded Face Recognition in Video using Intensity Distortion (Intensity Distortion을 이용한 Partially Occluded 얼굴인식)

  • Ju, Myung-Ho;Kang, Hang-Bong
    • Proceedings of the IEEK Conference
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    • pp.683-684
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    • 2006
  • 본 논문은 비디오기반의 얼굴인식에 있어서 환경의 변화나 왜곡, 노이즈 등으로 발생할 수 있는 부분적인 가림현상(Partial Occlusion)에 대한 처리기법을 제시한다. 인증되는 각 사람은 하나의 Manifold 를 구성하며 각 Manifold 는 m 개의 pose-Manifold 로 구성된다. Pose-Manifold 를 구성하기 위한 학습데이터는 매우 유사한 포즈들로 구성되기 때문에 얼굴을 이루는 영역의 픽셀에 대한 Intensity 의 변화는 크지 않다. 입력되는 이미지의 Intensity 를 학습데이터의 Intensity 의 변화량을 고려한 Intensity Distortion 을 이용하면 Occlusion 이 발생한 영역을 찾을 수 있고, Occlusion 이 발생한 정도에 따라 가중치를 부여할 수 있다. 이렇게 Occlusion 에 따라 영역에 중요도를 다르게 하여 얼굴인식률을 높이고자 한다. 실험에서는 제시하는 Mask 를 사용하지 않았을 경우와 기존에 제시된 알고리즘과의 성능을 비교한다.

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Facial Expression Recognition using 1D Transform Features and Hidden Markov Model

  • Jalal, Ahmad;Kamal, Shaharyar;Kim, Daijin
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1657-1662
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    • 2017
  • Facial expression recognition systems using video devices have emerged as an important component of natural human-machine interfaces which contribute to various practical applications such as security systems, behavioral science and clinical practices. In this work, we present a new method to analyze, represent and recognize human facial expressions using a sequence of facial images. Under our proposed facial expression recognition framework, the overall procedure includes: accurate face detection to remove background and noise effects from the raw image sequences and align each image using vertex mask generation. Furthermore, these features are reduced by principal component analysis. Finally, these augmented features are trained and tested using Hidden Markov Model (HMM). The experimental evaluation demonstrated the proposed approach over two public datasets such as Cohn-Kanade and AT&T datasets of facial expression videos that achieved expression recognition results as 96.75% and 96.92%. Besides, the recognition results show the superiority of the proposed approach over the state of the art methods.

Evaluation of color CRT monitor by MTFA (MTFA에 의한 칼라 CRT의 화질 평가)

  • 김태희
    • Korean Journal of Optics and Photonics
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    • v.9 no.3
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    • pp.205-211
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    • 1998
  • The MTF(modulation transfer function) measuring system with a linear CCD(charge coupled-device) was constructed to cvaluate a color CRT(catode ray tube). The measured MTF values were corrected by considering the spectral response and the pixel sizes of CCD. The effects of a spot size, video bandwidth, pitch of shadow mask holes, display luminance, and ambient illumination on image quality were studied. The uniformity of resolution and the contrast Ioss by ambient light of the color CRT monitor were measured, and the results were analyzed by MTFA(modulation threshold area).

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Real time detection and recognition of traffic lights using component subtraction and detection masks (성분차 색분할과 검출마스크를 통한 실시간 교통신호등 검출과 인식)

  • Jeong Jun-Ik;Rho Do-Whan
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.43 no.2
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    • pp.65-72
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    • 2006
  • The traffic lights detection and recognition system is an essential module of the driver warning and assistance system. A method which is a color vision-based real time detection and recognition of traffic lights is presented in this paper This method has four main modules : traffic signals lights detection module, traffic lights boundary candidate determination module, boundary detection module and recognition module. In traffic signals lights detection module and boundary detection module, the color thresholding and the subtraction value of saturation and intensity in HSI color space and detection probability mask for lights detection are used to segment the image. In traffic lights boundary candidate determination module, the detection mask of traffic lights boundary is proposed. For the recognition module, the AND operator is applied to the results of two detection modules. The input data for this method is the color image sequence taken from a moving vehicle by a color video camera. The recorded image data was transformed by zooming function of the camera. And traffic lights detection and recognition experimental results was presented in this zoomed image sequence.

An Optimal Implementation of Object Tracking Algorithm for DaVinci Processor-based Smart Camera (다빈치 프로세서 기반 스마트 카메라에서의 객체 추적 알고리즘의 최적 구현)

  • Lee, Byung-Eun;Nguyen, Thanh Binh;Chung, Sun-Tae
    • Proceedings of the Korea Contents Association Conference
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    • pp.17-22
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    • 2009
  • DaVinci processors are popular media processors for implementing embedded multimedia applications. They support dual core architecture: ARM9 core for video I/O handling as well as system management and peripheral handling, and DSP C64+ core for effective digital signal processing. In this paper, we propose our efforts for optimal implementation of object tracking algorithm in DaVinci-based smart camera which is being designed and implemented by our laboratory. The smart camera in this paper is supposed to support object detection, object tracking, object classification and detection of intrusion into surveillance regions and sending the detection event to remote clients using IP protocol. Object tracking algorithm is computationally expensive since it needs to process several procedures such as foreground mask extraction, foreground mask correction, connected component labeling, blob region calculation, object prediction, and etc. which require large amount of computation times. Thus, if it is not implemented optimally in Davinci-based processors, one cannot expect real-time performance of the smart camera.

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Implementation of Driver Fatigue Monitoring System (운전자 졸음 인식 시스템 구현)

  • Choi, Jin-Mo;Song, Hyok;Park, Sang-Hyun;Lee, Chul-Dong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.8C
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    • pp.711-720
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    • 2012
  • In this paper, we introduce the implementation of driver fatigue monitering system and its result. Input video device is selected commercially available web-cam camera. Haar transform is used to face detection and adopted illumination normalization is used for arbitrary illumination conditions. Facial image through illumination normalization is extracted using Haar face features easily. Eye candidate area through illumination normalization can be reduced by anthropometric measurement and eye detection is performed by PCA and Circle Mask mixture model. This methods achieve robust eye detection on arbitrary illumination changing conditions. Drowsiness state is determined by the level on illumination normalize eye images by a simple calculation. Our system alarms and operates seatbelt on vibration through controller area network(CAN) when the driver's doze level is detected. Our algorithm is implemented with low computation complexity and high recognition rate. We achieve 97% of correct detection rate through in-car environment experiments.

Noise Removal Algorithm using Standard Deviation and Estimation in AWGN Environment (AWGN 환경에서 표준편차 및 추정치를 통한 잡음 제거 알고리즘)

  • Cheon, Bong-Won;Kim, Nam-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.11
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    • pp.1468-1473
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    • 2018
  • The importance of communication and data processing is increasing with the advance of the Fourth Industrial Revolution. Hence, the importance of video and data processing technologies, which directly influence the accuracy and reliability of equipment, is also increasing. In this research report we propose an algorithm for calculating the final output by estimating the standard deviation and estimate required for removing AWGN while adapting to changes in the frequency factors of video. This algorithm calculates the final output by checking an estimated value against the effective pixel range, which is obtained from the standard deviation of mask factors. Subsequently, the weighted value is computed, taking into account the filter output. To evaluate the functionality of this algorithm, it is compared with the most-commonly used present method through simulation. The simulation results show that the important features of the image are preserved and efficient noise cancellation performance is demonstrated.

3DTIP: 3D Stereoscopic Tour-Into-Picture of Korean Traditional Paintings (3DTIP: 한국 고전화의 3차원 입체 Tour-Into-Picture)

  • Jo, Cheol-Yong;Kim, Man-Bae
    • Journal of Broadcast Engineering
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    • v.14 no.5
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    • pp.616-624
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    • 2009
  • This paper presents a 3D stereoscopic TIP (Tour Into Picture) for Korean classical paintings being composed of persons, boat, and landscape. Unlike conventional TIP methods providing 2D image or video, our proposed TIP can provide users with 3D stereoscopic contents. Navigating a picture with stereoscopic viewing can deliver more realistic and immersive perception. The method firstly makes input data being composed of foreground mask, background image, and depth map. The second step is to navigate the picture and to obtain rendered images by orthographic or perspective projection. Then, two depth enhancement schemes such as depth template and Laws depth are utilized in order to reduce a cardboard effect and thus to enhance 3D perceived depth of the foreground objects. In experiments, the proposed method was tested on 'Danopungjun' and 'Muyigido' that are famous paintings made in Chosun Dynasty. The stereoscopic animation was proved to deliver new 3D perception compared with 2D video.

A Low-Power 2-D DCT/IDCT Architecture through Dynamic Control of Data Driven and Fine-Grain Partitioned Bit-Slices (데이터에 의한 구동과 세분화된 비트-슬라이스의 동적제어를 통한 저전력 2-D DCT/IDCT 구조)

  • Kim Kyeounsoo;Ryu Dae-Hyun
    • Journal of Korea Multimedia Society
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    • v.8 no.2
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    • pp.201-210
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    • 2005
  • This paper proposes a power efficient 2-dimensional DCT/IDCT architecture driven by input data to be processed. The architecture achieves low power by taking advantage of the typically large fraction of zero and small-valued input processing data in video and image data compression. In particular, it skips multiplication by zero and dynamically activates/deactivates required bit-slices of fine-grain bit partitioned adders within multipliers and accumulators using simple input ANDing and bit-slice MASKing. The processed results from 1-D DCT/IDCT do not have unnecessary sign extension bits (SEBs), which are used for further power reduction in matrix transposer. The results extracted by bit-level transition activity simulations indicate significant power reduction compared to conventional designs.

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Offline Object Tracking for Private Information Masking in CCTV Data (CCTV 개인영상 정보보호를 위한 오프라인 객체추적)

  • Lee, Suk-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.12
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    • pp.2961-2967
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    • 2014
  • Nowadays, a private protection act has come into effect which demands for the protection of personal image information obtained by the CCTV. According to this act, the object out of interest has to be mosaicked such that it can not be identified before the image is sent to the investigation office. Meanwhile, the demand for digital videos obtained by CCTV is also increasing for digital forensic. Therefore, due to the two conflicting demands, the demand for a solution which can automatically mask an object in the CCTV video is increasing and related IT industry is expected to grow. The core technology in developing a target masking solution is the object tracking technique. In this paper, we propose an object tracking technique which suits for the application of CCTV video object masking as a postprocess. The proposed method simultaneously uses the motion and the color information to produce a stable tracking result. Furthermore, the proposed method is based on the centroid shifting method, which is a fast color based tracking method, and thus the overall tracking becomes fast.