• Title/Summary/Keyword: Tone Detection

Search Result 91, Processing Time 0.024 seconds

Face Detection Algorithm Using Pulse-Coupled Neural Network (Pulse-Coupled Neural Network를 이용한 얼굴추출 알고리즘)

  • Lim, Young-Wan;Na, Jin-Hee;Choi, Jin-Young
    • Proceedings of the KIEE Conference
    • /
    • 2004.05a
    • /
    • pp.105-107
    • /
    • 2004
  • In this work, we suggested the method which improves the efficiency of the face detection algorithm using Pulse-Coupled Neural Network. Face detection algorithm which uses the color information is independent on size, angle, and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise, and so on. Depending on these conditions, we obtained the mean and variance of skin-tone colors by experiments. Then we introduce a preprocess that the pixel with a mean value of skin-tone colors has highest level value(255) and the other pixels in the skin-tone region have values between 0 and 255 according to a normal distribution with a variance. This preprocess leads to an easy decision of the linking parameters.

  • PDF

Efficient and Automatic Face Detection Using Skin-tone and Shape (Skin-tone과 특징형태를 적용한 효율적인 얼굴영역 자동검출 기법의 구현)

  • 김광희;김성환;최옥매;이배호
    • Proceedings of the IEEK Conference
    • /
    • 1999.06a
    • /
    • pp.575-578
    • /
    • 1999
  • The principal features of a face are as follows : skin-tone, symmetry, and requisites such as shape of ellipse, eyes, nose, mouth. Also, faces have different size, various shape and position. In case of application of face recognition and detection without preprocessing, efficiency of the performance is decreased. In addition, face itself, complex background, image quality, etc. are included. Therefore, previous face recognition methods are implemented on the base of specific constraints of the face image. In this paper, we propose the efficient and automatic face detection algorithm for minimizing influence such as complex background, image quality, etc. This face detection technique consists of skin-tone, candidate face region and face region extractions.

  • PDF

Role of linking parameters in Pulse-Coupled Neural Network for face detection

  • Lim, Young-Wan;Na, Jin-Hee;Choi, Jin-Young
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2004.08a
    • /
    • pp.1048-1052
    • /
    • 2004
  • In this work, we have investigated a role of linking parameter in Pulse-Coupled Neural Network(PCNN) which is suggested to explain the synchronous activities among neurons in the cat cortex. Then we have found a method to determine the linking parameter for a satisfactory face detection performance in a given color image. Face detection algorithm which uses the color information is independent on pose, size and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise and so on. Depending on these conditions, PCNN's linking parameters should be selected an appropriate values. First we obtained the mean and variance of the skin-tone colors by experiments. Then, we introduced a preprocess that the pixel with a mean value of skin-tone colors has the highest level value (255) and the other pixels have values between 0 and 255 according to normal distribution with a variance. This preprocessing leads to an easy decision of the linking parameter of the Pulse-Coupled Neural Network. Through experiments, it is verified that the proposed method can improve the face detection performance compared to the existing methods.

  • PDF

Implement PAMD for discriminate human and ARS (수화자(受話者) 구별을 위한 PAMD 구현)

  • 서봉수
    • Proceedings of the IEEK Conference
    • /
    • 2003.11a
    • /
    • pp.61-64
    • /
    • 2003
  • In this paper, we implement PAMD(Positive Answering Machine Detection) for discrimination human and ARS. We are used Grunt detection, Glitch Noise detection and Tone detection for PAMD. It distinguishes voice signals from ring-back tone and glitch noise respectively. And as a second step, it judges whether human responses or ARS responses after integrating pattern changes like initial response period, the number of voice data, each time of voice data period and glitch noise. The accuracy is about 9375 in ASR and about 98% in Mobile phone.

  • PDF

Single Tone Detection Algorithm for Improve on Auto White Balance of Mobile Phone Camera (모바일 폰 카메라의 자동백색보정 성능향상을 위한 단색영상 검출 알고리즘)

  • Kim, Kyung-Rin;Jang, Won-Woo;Kim, Joo-Hyun;Yang, Hoon-Gee;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.7
    • /
    • pp.1292-1302
    • /
    • 2009
  • In this paper, we proposed Single Tone Detection Algorithm for prevent decoloration and color distortion of single tone image in auto white balance of mobile phone camera. Conventional auto white balance which accomplish very well using complex color images, but there are some problems if input images are single tone image or included large part of single tone. If input images are singlet one, or included large part of single tone, which cause decoloration or distorted color in output images. In this paper, we proposed single tone detection algorithm using color histogram data for solve decoloration or distorted color problems. If this algorithm is applied to auto white balance, it will be improvement in auto white balance.

A Tone Detector USing Cascaded Nonlinear Energy Trackers (비선형 에너지 추적기를 중첩 사용한 근접된 톤 신호의 검출)

  • 황성수
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.9B
    • /
    • pp.1563-1569
    • /
    • 2000
  • Teager-Kaiser algorithm that can track the energy of tone signals with simple nonlinear operations, has been applied to detection of tone signals closely spaced in frequency. The performance of the previous detector depends upon the performance of internal filters. An improved scheme is proposed in this paper by employing the nonlinear energy trackers in cascade. The proposed detector is analytically designed and verified by computer simulation. It shows that the new detection scheme improves the detection performance while reducing the implementation complexity.

  • PDF

A Robust Face Detection Method Based on Skin Color and Edges

  • Ghimire, Deepak;Lee, Joonwhoan
    • Journal of Information Processing Systems
    • /
    • v.9 no.1
    • /
    • pp.141-156
    • /
    • 2013
  • In this paper we propose a method to detect human faces in color images. Many existing systems use a window-based classifier that scans the entire image for the presence of the human face and such systems suffers from scale variation, pose variation, illumination changes, etc. Here, we propose a lighting insensitive face detection method based upon the edge and skin tone information of the input color image. First, image enhancement is performed, especially if the image is acquired from an unconstrained illumination condition. Next, skin segmentation in YCbCr and RGB space is conducted. The result of skin segmentation is refined using the skin tone percentage index method. The edges of the input image are combined with the skin tone image to separate all non-face regions from candidate faces. Candidate verification using primitive shape features of the face is applied to decide which of the candidate regions corresponds to a face. The advantage of the proposed method is that it can detect faces that are of different sizes, in different poses, and that are making different expressions under unconstrained illumination conditions.

Detection of narrowly spaced tone signals using a nonlinear energy tracker (비선형 에너지 추적기를 이용한 근접된 톤 신호 검출)

  • 황성수;이용환
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.22 no.11
    • /
    • pp.2470-2476
    • /
    • 1997
  • We propose a simle scheme for detecting tone signals narrowly spaced in the frequency by employing a nonlinear device called Teager's energy tracker. When the input signal is a tone signal, the output of Teager's energy tracker is proportional to the energy and tone frequency of the input signal. When the envelope of the input tone is varying, this tracker can also track the energy of the envelope. By employing Teager's algorithm as a preprocessor, the detector for narrowly spaced tone signals can be implemented without the use of sharp notch filters. As an example, the proposed detector is applied to distinguishing ITU-T V.8 and V.25 tone signals. The detector perfodrmance is analyszed and is verified by computer simulation.

  • PDF

A GNSS Interference Detection Method Based on Multiple Ground Stations

  • Kim, Sun Young;Kang, Chang Ho;Yang, Jeong Hwan;Park, Chan Gook;Joo, Jung Min;Heo, Moon Beom
    • Journal of Positioning, Navigation, and Timing
    • /
    • v.1 no.1
    • /
    • pp.15-21
    • /
    • 2012
  • For a GNSS receiver's robustness against RFI and the high accuracy of navigation solution in GNSS, interference source detection and mitigation are needed. In this paper, an adaptive lattice IIR notch filter is employed to track single-tone continuous wave and swept continuous wave interference signals, and an interference detection method is proposed. Furthermore, this paper presents interference source characterization algorithm using multiple ground stations' interference detection results. The measurement of the signal powers from each ground station is used to build weighting factors to estimate the type of the interference. The performance of interference detection algorithm is simulated for scenarios of GPS signal in the presence of single-tone continuous wave interference and swept continuous wave interference.

A PARCOR-type DTMF Receiver Feasible in In-band Signalling

  • Gyeong, Mun-Geon;Baek, Je-In;Lee, Yeong-Ho
    • ETRI Journal
    • /
    • v.9 no.3
    • /
    • pp.74-85
    • /
    • 1987
  • In this paper, a new kind of dual tone multifrequency receiver(DTMFR) is proposed, in which detection is made in terms of the partial correlation(PARCOR) coefficients for efficient DTMF signal detection against both temporary decoding errors by crosstalks possibly coming from adjoint telephone lines during transmission and so-called digit simulation by background voice or noise signals during interdigit period. A simulation study on the behaviour of PARCOR coefficients for tone signals and non-signals has been performed in order to provide the rationale on the feasibility of the proposed DTMFR algorithm. Based upon simulation results, a more refined detection strategy as an example is presented and explained together with the corresponding decision logic.

  • PDF