ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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37.27
Displaying 1-16 of 16 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • A 120-Hz Super Hi-Vision Image Sensor with Higher Sensitivity
    Toshio YASUE, Tetsuya HAYASHIDA, Jun YONAI, Kazuya KITAMURA, Toshihisa ...
    Article type: Article
    Session ID: IST2013-28/ME2013-70
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A 33-Mpixel and 120-fps CMOS image sensor with higher sensitivity and low random noise was fabricated. By using 0.11μm CIS process, the prototyped sensor exhibited conversion gain of 112μV/e^-, which is 1.8 times higher than conventional image sensor. As a result, sensitivity and random noise of the sensor was 2.25V/lx/s (measured under A-light source and IR cut filter) and 2.47 e^-rms (measured at 120 fps and Gain=6.8) respectively.
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  • Development of 120-fps LCD display for Super Hi-Vision capture device
    Hiroshi SHIMAMOTO, Kazuya KITAMURA, Toshio YASUE, Tadaaki YANAGI, Tets ...
    Article type: Article
    Session ID: IST2013-29/ME2013-71
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_5
    CONFERENCE PROCEEDINGS FREE ACCESS
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    NHK is researching and developing Super Hi-Vision, a 8K version of UHDTV, as the next-generation broadcast system. We have developed a 120-fps 33-megapixel (7,680-pixel by 4,320-line of resolution) CMOS image sensor and a three-chip color image capture device. In this work, we developed a 4K resolution 120-fps LCD (liquid crystal display) display for the SHV capture device.
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  • Speed Specification of Vision Chip for Detecting Line of Sight including Saccade
    Yuta SASADA, Junichi AKITA
    Article type: Article
    Session ID: IST2013-30/ME2013-72
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_9
    CONFERENCE PROCEEDINGS FREE ACCESS
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    Line-of-sight (LoS) detection is decided by measuring the eye movement, and this technology is attracting attention as a new type of user interfaces. Human's eyeball also moves very rapidly, which is called as saccade, and saccade is also expected to be used as an another type of user interfaces. Although real-time tracking of saccade is difficult by conventional LoS detection systems. We have been developing LoS detection system using Vision Chip to achieve fast and low latency processing, but the frame rate required to capture the saccade has not been proposed mostly. In this paper, we describe the relation between eyeball's travel distance and speed by saccade to propose the frame rate, which is enough to track saccade.
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  • The motion detection algorithm in independent time axis system for each pixel
    Tatsuhiko SAKAGUCHI, Junichi AKITA
    Article type: Article
    Session ID: IST2013-31/ME2013-73
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_13
    CONFERENCE PROCEEDINGS FREE ACCESS
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    Traditional image processing method is still images in the time domain. The frame rate should be set for capturing and tracking the moving objects, high frame rate for faster objects, for instance. The higher frame rate may result in expensive processing cost for slower objects, or difficulties in adapting the drastic change of speed. In this paper, we describe the motion detection algorithm based on independent time-continuous domain in each pixel. We also describe the estimation on the robustness for external noise factors in motion detection using this algorithm.
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  • Color reproductivity improvement with additional virtual color filters for White-RGB image sensor
    Shun KAWADA, Rihito KURODA, Shigetoshi SUGAWA
    Article type: Article
    Session ID: IST2013-32/ME2013-74
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_17
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We propose a color reproduction method which based on the estimated spectral reflectance of objects in order to improve the color reproductivity of single chip image sensor with the White-RGB color filter. Virtual color filter information was newly introduced to the spectrum estimation in addition to the physical four color filters (White-RGB). The estimation accuracy was evaluated with the 24 colors in the Macbeth Color Checker. The averaged value of the color difference ΔEab of 24 colors was 7.62 with only the physical RGB color filters. On the other hand, the value was reduced to 1.88 by the new estimation method which includes three physical color filters and the newly added four virtual color filters.
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  • Efficiency improvement for multi-parameter motion compensation under cost constraint
    Masashi Morita, Tetsuzo Fujita, Yutaka Nakano, Toshiyuki Yoshida
    Article type: Article
    Session ID: IST2013-33/ME2013-75
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_21
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A multi-parameter motion estimation/compensation model is desirable for an improvement of video coding efficiency. The authors thus have proposed a new multi-parameter motion estimation technique based on reliability metrics for motion estimation under a constraint for the computational cost. This paper aims to improve the estimation accuracy and efficiency of the technique by detecting macro blocks comprising a single edge and reducing the estimation precision along with the edge.
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  • Accuracy evaluation for a spatial MOS estimation technique in video coding
    Masamitsu Taue, Shusuke Kondo, Toshiyuki Yoshida
    Article type: Article
    Session ID: IST2013-34/ME2013-76
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_25
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The authors have proposed a video coding technique that maximizes an estimated spatio-temporal Mean Opinion Score (EMOS) and temporal and spatial MOS estimation techniques. Although we have evaluated the accuracy of the spatial MOS estimation technique by comparing the results by the technique with actually measured MOSs, it has not compared with the other useful video quality measures. This paper therefore derives a coefficient set of the spatial MOS estimation technique for H.264 video encoders, and then the EMOSs estimated by the technique, actually measured MOSs, and SSIMs are compared each other to confirm the advantage of our technique over the SSIM.
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  • A Moving Object Extraction by Level Set Method Considering Depth Information
    Hiroki INANO, Akihiro KITAMURA, Kousuke IMAMURA
    Article type: Article
    Session ID: IST2013-35/ME2013-77
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_29
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this paper, we proposed a moving object extraction by level set method considering depth information obtained from a single camera image. Many conventional methods for moving object extraction are based on the inter-frame difference information, but accuracy degradation of extraction in uncovered background and occlusion region is easy to happen by the use of only frame difference information. In our proposal method, we improve the accuracy of moving object extraction by design of a new speed function of level set method using both edge information and depth information obtained from a single image as well as inter-frame difference information. The experimental results through computer simulations show the proposed method provides good extraction accuracy under the condition that there is significant difference of depth information between the object and background.
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  • Position Estimate of Night-Time Leading Vehicles Based on Traffic Lanes Detection
    Takayuki Fujimura, Tadaaki Hosaka, Takayuki Hamamoto
    Article type: Article
    Session ID: IST2013-36/ME2013-78
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_33
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In recent years, the demand for Adaptive Driving Beam (ADB) technology, which controls vehicle headlights adaptively, has recently increased. Implementation of ADB requires real-time detection of the leading vehicles. In this paper, we propose novel method of detecting and tracking leading vehicles at night. The framework of our method is 1)detecting white lines to define traffic lanes, 2)searching vehicles only in the traffic lanes, and 3)tracking the captured vehicles in subsequent frames. A major benefit of our method lies in the reduction of false detection and the cutdown of processing time by restricting the search range. Experimental results quantitatively and qualitatively show the effectiveness of the proposed method.
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  • Recognition Characteristics of Non-contact Type of Fingerprint Authentication in Finger Rotation Variation
    Hironobu TAKANO, Akira MORI, Kiyomi NAKAMURA
    Article type: Article
    Session ID: IST2013-37/ME2013-79
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_37
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this study, the recognition performance of non-contact type of fingerprint with the local luminance variation or HOG feature were investigated using the 3-D rotation (roll, yaw, and pitch directions) images of fingerprint. The 60 fingerprint images of 15 subjects captured by a camera were used in the experiment. From experimental result, the equal error rates (EER) were gradually increased with the rotation angle in all rotation directions. The error rates of fingerprint recognition for the HOG feature were lower than those of the local luminance variation. The rotation correction of the roll direction using finger shapes provided the significant improvement of recognition performance for both features.
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  • High speed distance estimation for real-time free-viewpoint image synthesis
    Tomiaki SAITOU, Hironori YAMAGISHI, Takayuki HAMAMOTO
    Article type: Article
    Session ID: IST2013-38/ME2013-80
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_41
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We have studied methods of free-viewpoint image synthesis that can operate in real time using the multi-view image sensor system. In the previous methods, distance information required for free-viewpoint image synthesis can be estimated in real time, but the processing speed was rather low. Therefore the frame rate of the real-time processing is not sufficient. In this paper, we propose new distance estimation method to accelerate the processing.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Appendix
    Pages App2-
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_App2
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (124K)
  • [title in Japanese]
    Article type: Appendix
    Pages App3-
    Published: June 17, 2013
    Released on J-STAGE: September 21, 2017
    DOIhttps://doi.org/10.11485/itetr.37.27.0_App3
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (124K)
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