• Title/Summary/Keyword: frame detection

Search Result 920, Processing Time 0.03 seconds

A Scene Change Detection Technique using the Weighted $\chi^2$-test and the Automated Threshold-Decision Algorithm (변형된 $\chi^2$- 테스트와 자동 임계치-결정 알고리즘을 이용한 장면전환 검출 기법)

  • Ko, Kyong-Cheol;Rhee, Yang-Won
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.42 no.4 s.304
    • /
    • pp.51-58
    • /
    • 2005
  • This paper proposes a robust scene change detection technique that uses the weighted chi-square test and the automated threshold-decision algorithms. The weighted chi-square test can subdivide the difference values of individual color channels by calculating the color intensities according to NTSC standard, and it can detect the scene change by joining the weighted color intensities to the predefined chi-square test which emphasize the comparative color difference values. The automated threshold-decision at algorithm uses the difference values of frame-to-frame that was obtained by the weighted chi-square test. At first, The Average of total difference values is calculated and then, another average value is calculated using the previous average value from the difference values, finally the most appropriate mid-average value is searched and considered the threshold value. Experimental results show that the proposed algorithms are effective and outperform the previous approaches.

Design of Moving Picture Retrieval System using Scene Change Technique (장면 전환 기법을 이용한 동영상 검색 시스템 설계)

  • Kim, Jang-Hui;Kang, Dae-Seong
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.44 no.3
    • /
    • pp.8-15
    • /
    • 2007
  • Recently, it is important to process multimedia data efficiently. Especially, in case of retrieval of multimedia information, technique of user interface and retrieval technique are necessary. This paper proposes a new technique which detects cuts effectively in compressed image information by MPEG. A cut is a turning point of scenes. The cut-detection is the basic work and the first-step for video indexing and retrieval. Existing methods have a weak point that they detect wrong cuts according to change of a screen such as fast motion of an object, movement of a camera and a flash. Because they compare between previous frame and present frame. The proposed technique detects shots at first using DC(Direct Current) coefficient of DCT(Discrete Cosine Transform). The database is composed of these detected shots. Features are extracted by HMMD color model and edge histogram descriptor(EHD) among the MPEG-7 visual descriptors. And detections are performed in sequence by the proposed matching technique. Through this experiments, an improved video segmentation system is implemented that it performs more quickly and precisely than existing techniques have.

Development of Long-Range RFID Reader System supporting Sensor Tag (센서태그를 지원하는 장거리 RFID 리더 시스템 개발)

  • Shin, Dong-Beom;Kim, Dae-Young
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.34 no.6C
    • /
    • pp.626-633
    • /
    • 2009
  • ISO/IEC/WD 24753 defines new modem specifications for a long-range RFID communications and application protocol for a sensor tag system. According to the standard, the frequency offset of the tag is 4%. In general wireless communications systems, it is known that a coherent receiver is superior to a non-coherent receiver. However, if the frequency offset is large, it is difficult to restore the original data accurately with a coherent receiver, and the performance of a coherent receiver is easily degraded. In this paper, a non-coherent receiver structure is adopted to solve the frequency offset problem of long-range RFID communications. We designed a frequency estimation block to find an optimal frequency from the received signal with 4% frequency offset and proposed a start frame delimiter (SFD) detection algorithm to determine the start position of the payload. The frequency estimation block finds the optimal frequency from the received signal using 9-correlators. And the SFD detection block searches the received signal to find the start position of the payload with dual correlator. We implemented a long-range RFID reader with the proposed methods and evaluated its performance in a wired/wireless test network. The implemented long-range RFID reader showed more superior performance than the commercial RFID reader in terms of recognition range.

CHANDRA OBSERVATIONS OF THE AKARI NEP DEEP FIELD

  • Miyaji, T.;Krumpe, M.;Brunner, H.;Ishigaki, T.;Hanami, H.;Markowitz, A.;Takagi, T.;Goto, T.;Malkan, M.A.;Matsuhara, H.;Pearson, C.;Ueda, Y.;Wada, T.
    • Publications of The Korean Astronomical Society
    • /
    • v.32 no.1
    • /
    • pp.235-237
    • /
    • 2017
  • The AKARI NEP Deep Field Survey is an international multiwavelength survey over $0.4deg^2$ of the sky. This is the deepest survey made by the InfraRed Camera (IRC) of the infrared astronomical satellite AKARI with 9 filters continuously covering the $2-25{\mu}m$ range, including three filters in the Spitzer gap between the IRAC and MIPS coverages. This enabled us to make sensitive MIR detection of AGN candidates at z~ 1, based on hot dust emission in the AGN torus. It is also efficient in detecting highly obscured Compton-thick AGN population. In this article, we report the first results of X-ray observations on this field. The field was covered by 15 overlapping Chandra ACIS-I observations with a total exposure of ~300 ks, detecting ${\approx}450$ X-ray sources. We utilize rest-frame stacking analysis of the MIR AGN candidates that are not detected individually. Our preliminary analysis shows a marginal detection of the rest-frame stacked Fe $k{\alpha}$ line from our strong Compton-thick candidates.

Feature based Pre-processing Method to compensate color mismatching for Multi-view Video (다시점 비디오의 색상 성분 보정을 위한 특징점 기반의 전처리 방법)

  • Park, Sung-Hee;Yoo, Ji-Sang
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.15 no.12
    • /
    • pp.2527-2533
    • /
    • 2011
  • In this paper we propose a new pre-processing algorithm applied to multi-view video coding using color compensation algorithm based on image features. Multi-view images have a difference between neighboring frames according to illumination and different camera characteristics. To compensate this color difference, first we model the characteristics of cameras based on frame's feature from each camera and then correct the color difference. To extract corresponding features from each frame, we use Harris corner detection algorithm and characteristic coefficients used in the model is estimated by using Gauss-Newton algorithm. In this algorithm, we compensate RGB components of target images, separately from the reference image. The experimental results with many test images show that the proposed algorithm peformed better than the histogram based algorithm as much as 14 % of bit reduction and 0.5 dB ~ 0.8dB of PSNR enhancement.

Audio Watermarking Using Quantization Index Modulation on Significant Peaks in Frequency Domain (주파수 영역에서 주요 피크에 QIM을 적용한 오디오 워터마킹)

  • Kang, Jung-Sun;Cho, Sang-Jin
    • The Journal of the Acoustical Society of Korea
    • /
    • v.30 no.6
    • /
    • pp.303-307
    • /
    • 2011
  • This paper describes an audio watermarking using Quantization Index Modulation (QIM) on significant peaks in frequency domain. The audio signal is broken up into L samples length frames with non-overlapping and rectangular window. The zero-crossing rate of each frame is calculated for decision whether it is proper to be watermarked or not. If the frame is legitimate, frequency magnitude response is computed by discrete Fourier transform. For the QIM, we set the quantization step size based on maximum value of frequency magnitude response and select n significant peaks with w samples around them in frequency domain, totally $n{\times}(w+1)$ samples. Finally, watermark embedding is performed. Decoder extract watermarks based on Euclidean distance, that is a blind detection. The proposed method is robust against many attacks of watermark benchmark.

Robust pupil detection and gaze tracking under occlusion of eyes

  • Lee, Gyung-Ju;Kim, Jin-Suh;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.10
    • /
    • pp.11-19
    • /
    • 2016
  • The size of a display is large, The form becoming various of that do not apply to previous methods of gaze tracking and if setup gaze-track-camera above display, can solve the problem of size or height of display. However, This method can not use of infrared illumination information of reflected cornea using previous methods. In this paper, Robust pupil detecting method for eye's occlusion, corner point of inner eye and center of pupil, and using the face pose information proposes a method for calculating the simply position of the gaze. In the proposed method, capture the frame for gaze tracking that according to position of person transform camera mode of wide or narrow angle. If detect the face exist in field of view(FOV) in wide mode of camera, transform narrow mode of camera calculating position of face. The frame captured in narrow mode of camera include gaze direction information of person in long distance. The method for calculating the gaze direction consist of face pose estimation and gaze direction calculating step. Face pose estimation is estimated by mapping between feature point of detected face and 3D model. To calculate gaze direction the first, perform ellipse detect using splitting from iris edge information of pupil and if occlusion of pupil, estimate position of pupil with deformable template. Then using center of pupil and corner point of inner eye, face pose information calculate gaze position at display. In the experiment, proposed gaze tracking algorithm in this paper solve the constraints that form of a display, to calculate effectively gaze direction of person in the long distance using single camera, demonstrate in experiments by distance.

An Algorithm for Traffic Information by Vehicle Tracking from CCTV Camera Images on the Highway (고속도로 CCTV카메라 영상에서 차량 추적에 의한 교통정보 수집 알고리즘)

  • Min Joon-Young
    • Journal of Digital Contents Society
    • /
    • v.3 no.1
    • /
    • pp.1-9
    • /
    • 2002
  • This paper is proposed to algorithm for measuring traffic information automatically, for example, volume count, speed and occupancy rate, from CCTV camera images installed on highway, add to function of image detectors which can be collected the traffic information. Recently the method of traffic informations are counted in lane one by one, but this manner is occurred critical errors by occlusion frequently in case of passing larger vehicles(bus, truck etc.) and is impossible to measure in the 8 lanes of highway. In this paper, installed the detection area include with all lanes, traffic informations are collected using tracking algorithm with passing vehicles individually in this detection area, thus possible to detect all of 8 lanes. The experiment have been conducted two different real road scenes for 20 minutes. For the experiments, the images are provided with CCTV camera which was installed at Kiheung Interchange upstream of Kyongbu highway, and video recording images at Chungkye Tunnel. For image processing, images captured by frame-grabber board 30 frames per second, $640{\times}480$ pixels resolution and 256 gray-levels to reduce the total amount of data to be interpreted.

  • PDF

Speech Signal Compression and Recovery Using Transition Detection and Approximate-Synthesis (천이구간 추출 및 근사합성에 의한 음성신호 압축과 복원)

  • Lee, Kwang-Seok;Lee, Byeong-Ro
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.13 no.2
    • /
    • pp.413-418
    • /
    • 2009
  • In a speech coding system using excitation source of voiced and unvoiced, it would be involved a distortion of speech qualify in case coexist with a voiced and an unvoiced consonants in a frame. So, We proposed TS(Transition Segment) including unvoiced consonant searching and extraction method in order to uncoexistent with a voiced and unvoiced consonants in a frame. This research present a new method of TS approximate-synthesis by using Least Mean Square and frequency band division. As a result, this method obtain a high qualify approximation-synthesis waveforms within TS by using frequency information of 0.547kHz below and 2.813kHz above. The important thing is that the maximum error signal can be made with low distortion approximation-synthesis waveform within TS. This method has the capability of being applied to a new speech coding of Voiced/Silence/TS, speech analysis and speech synthesis.

Estimation of Rotational Stiffness of Connections in Steel Moment Frames by using Artificial Neural Network (인공신경망을 이용한 철골모멘트골조 접합부의 회전강성 손상예측)

  • Choi, Se-Woon
    • Journal of the Korea institute for structural maintenance and inspection
    • /
    • v.22 no.1
    • /
    • pp.107-114
    • /
    • 2018
  • In this study, the damage detection method is proposed for the rotational stiffness of connections in steel moment frames by using artificial neural network(ANN). The flexural moment of columns, natural frequencies, modeshapes are used for the input layer in ANN while the damage index, that signify the damage level, is used for the output layer in ANN. The 5-story steel moment frame as an example structure is used to generate the train and test data. Total number of damage scenarios considered is 829. From the results of application, it is shown that the proposed method can accurately estimate the location and level of damages.