• Title/Summary/Keyword: Panning method

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Web-based Moving Object Tracking by Controlling Pan-Tilt Camera using Motion Detection (움직임 검출의 캠 제어에 의한 웹기반 이동 객체 추적)

  • 박천주;박희정;이재협;전병민
    • The Journal of the Korea Contents Association
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    • v.2 no.2
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    • pp.17-26
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    • 2002
  • In this paper, we suggest a method to acquire the moving object centered video by panning and tilting a camera automatically according to motion vectors calculated by detecting the motion of a moving object on video steam. We create a difference image by estimating the intensity difference at the grid points of neighboring frames. And we detect the motion using both horizontal projection histogram and vertical projection histogram and decide the center of motion part. Then we calculate a new direction and degree of the motion by comparing coordinates at the center of current motion and the center of previous motion. By controling the RCM using these Motion vectors, we can get video stream positioned unwire object on the center of video frame. Through the experiments, we could get a moving object centered video stream continuously arid monitor remotely by implementing sever/client architecture based on the web.

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Production of Monoclonal Antibodies (Mabs) Against Surface Antigens on Israeli Carp Lymphocytes and Their Applications

  • Woo, Jong-Kyu;Jang, Han-Na;Cho, Young-Hye;Jang, Yong-Suk;Choi, Sang-Hoon
    • Asian-Australasian Journal of Animal Sciences
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    • v.14 no.8
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    • pp.1179-1187
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    • 2001
  • In fish both humoral and cell mediated immune responses have been reported whereas antibodies recognizing specific cellular populations have not yet been developed except for ones recognizing surface Ig molecules on B lymphocytes. Our aim was to develop and characterize monoclonal antibodies (Mabs) specific for the immune-related cells. Mabs were produced by fusion of myeloma cells (SP2/0) with Balb/c mouse spleen cells previously sensitized against Israeli carp (I. carp) kidney mononuclear cells. We obtained 44 Mabs positively reacting with I. carp kidney mononuclear cells and partially characterized 7 Mabs in the morphological and mitogen-based proliferative aspects. Fluorescence-activated cell sorter (FACS) analysis against I. carp kidney cells by using 7 different Mabs showed 80.3% for ICK 17-4, 65.1% for ICK 2-3, 64.1% for ICK 25-1, 67.5% for lCK 22-1, 70.8% for ICK 16-2, 76.8% for ICK 13-2, 79.7% for ICK II-I. Panning method was used for the isolation of Mabs specific mononuclear carp spleen cells followed by Wright's stain. The stained cell populations were identified as monocytes (ICK 17-4, ICK 2-3, ICK 25-1, ICK 22-1 and ICK 16-2), lymphocytes (ICK 11-1), and a mixed cell population of monocytes and lymphocytes (ICK 13-2). In cell proliferation assay, monocytes purified by ICK 17-4, 2-3 and 22-1 efficiently responded to Con A and PHA, while ones separated by ICK 25-1 did not react with any mitogens. Lymphocytes isolated by ICK 11-1, though it is not known whether they are T or B cells, were more responsive to Con A than PHA or LPS, suggesting that fish immune cells are somewhat different from mammalian cells in responding to mammalian T or B cell mitogens.

Robust Primary-ambient Signal Decomposition Method using Principal Component Analysis with Phase Alignment (위상 정렬을 이용한 주성분 분석법의 강인한 스테레오 음원 분리 성능유지 기법)

  • Baek, Yong-Hyun;Hyun, Dong-Il;Park, Young-Cheol
    • Journal of Broadcast Engineering
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    • v.19 no.1
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    • pp.64-74
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    • 2014
  • The primary and ambient signal decomposition of a stereo sound is a key step to the stereo upmix. The principal component analysis (PCA) is one of the most widely used methods of primary-ambient signal decomposition. However, previous PCA-based decomposition algorithms assume that stereo sound sources are only amplitude-panned without any consideration of phase difference. So it occurs some performance degradation in case of live recorded stereo sound. In this paper, we propose a new PCA-based stereo decomposition algorithm that can consider the phase difference between the channel signals. The proposed algorithm overcomes limitation of conventional signal model using PCA with phase alignment. The phase alignment is realized by using inter-channel phase difference (IPD) which is widely used in parametric stereo coding. Moreover, Enhanced Modified PCA(EMPCA) is combined to solve the problem of conventional PCA caused by Primary to Ambient energy Ratio(PAR) and panning angle dependency. The simulation results are presented to show the improvements of the proposed algorithm.