• Title/Summary/Keyword: Disparity Vector

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Vehicle Detection and Tracking using Billboard Sweep Stereo Matching Algorithm (빌보드 스윕 스테레오 시차정합 알고리즘을 이용한 차량 검출 및 추적)

  • Park, Min Woo;Won, Kwang Hee;Jung, Soon Ki
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.764-781
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    • 2013
  • In this paper, we propose a highly precise vehicle detection method with low false alarm using billboard sweep stereo matching and multi-stage hypothesis generation. First, we capture stereo images from cameras established in front of the vehicle and obtain the disparity map in which the regions of ground plane or background are removed using billboard sweep stereo matching algorithm. And then, we perform the vehicle detection and tracking on the labeled disparity map. The vehicle detection and tracking consists of three steps. In the learning step, the SVM(support vector machine) classifier is obtained using the features extracted from the gabor filter. The second step is the vehicle detection which performs the sobel edge detection in the image of the left camera and extracts candidates of the vehicle using edge image and billboard sweep stereo disparity map. The final step is the vehicle tracking using template matching in the next frame. Removal process of the tracking regions improves the system performance in the candidate region of the vehicle on the succeeding frames.

Fault Detection of Unbalanced Cycle Signal Data Using SOM-based Feature Signal Extraction Method (SOM기반 특징 신호 추출 기법을 이용한 불균형 주기 신호의 이상 탐지)

  • Kim, Song-Ee;Kang, Ji-Hoon;Park, Jong-Hyuck;Kim, Sung-Shick;Baek, Jun-Geol
    • Journal of the Korea Society for Simulation
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    • v.21 no.2
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    • pp.79-90
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    • 2012
  • In this paper, a feature signal extraction method is proposed in order to enhance the low performance of fault detection caused by unbalanced data which denotes the situations when severe disparity exists between the numbers of class instances. Most of the cyclic signals gathered during the process are recognized as normal, while only a few signals are regarded as fault; the majorities of cyclic signals data are unbalanced data. SOM(Self-Organizing Map)-based feature signal extraction method is considered to fix the adverse effects caused by unbalanced data. The weight neurons, mapped to the every node of SOM grid, are extracted as the feature signals of both class data which are used as a reference data set for fault detection. kNN(k-Nearest Neighbor) and SVM(Support Vector Machine) are considered to make fault detection models with comparisons to Hotelling's $T^2$ Control Chart, the most widely used method for fault detection. Experiments are conducted by using simulated process signals which resembles the frequent cyclic signals in semiconductor manufacturing.

An efficient multi-view video coding using correlation between multi-view video and depth map (다시점 비디오와 깊이 정보의 상판도를 이용한 효율적인 다시점 비디오 부호화 기법)

  • Bae, Byung-Kyu;Yun, Jung-Hwan;Kim, Dong-Wook;Yoo, Ji-Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.11a
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    • pp.259-262
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    • 2008
  • 본 논문에서는 다시점 비디오와 깊이 정보의 상관도를 이용해서 현재 JVT(joint video team)에서 표준화 된 다시점 비디오 부호화 (multi-view video coding : MVC)의 참조 소프트웨어인 JMVM(joint multi-view video model)을 기반으로 하여 효율적인 다시점 비디오 압축 방법을 제안한다. 기존의 일반적인 비디오 부호화 방식은 단일 시점에 대한 비디오 부호화 기술이기 때문에 다시점 비디오 전송을 위해서는 시점 당 각각 전송 채널에 필요하다. 하지만 다시점 비디오 부호화 기법을 이용하게 되면, 단일 전송 채널을 이용하여 전송이 가능하다. 본 논문에서 제안된 방법은 입력된 다시점 입력 영상과 해당 하는 깊이 정보를 이용하여 시점 간의 예측 방법의 효율성을 높였다. 다시점 입력 영상과 깊이 정보의 전역 변이 벡터 (global disparity vector : GDV)의 상관도를 이용하였으며, 다시점 영상과 깊이 정보를 동시에 전송해야 할 경우 복잡도를 낮출 수 있고, 약 $0.01{\sim}0.1dB$의 PSNR 이득을 얻을 수 있다.

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Multi-view Video Coding using the Constrained Inter-view Prediction (다시점 비디오 부호화에서 시점 간 예측 제한 방법)

  • Chun, Sung-Hwan;Shin, Kwang-Mu;Kim, Ki-Wan;Chung, Ki-Dong
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.8
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    • pp.788-792
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    • 2008
  • In this paper, we propose a method that uses the constrained inter-view prediction for multi-view video coding. In the multi-view video, there exists occluded area because of the locations and angles of cameras. This increases the computational complexity, as it still uses both reference pictures for predicting the area which is not shown in the current frame. In this paper, we propose a method that does not use the inter-view prediction in cases of the occluded macroblocks. Experimental results show that benefits about 4% can be achieved compared with the conventional approaches.

GPU-based Stereo Matching Algorithm with the Strategy of Population-based Incremental Learning

  • Nie, Dong-Hu;Han, Kyu-Phil;Lee, Heng-Suk
    • Journal of Information Processing Systems
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    • v.5 no.2
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    • pp.105-116
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    • 2009
  • To solve the general problems surrounding the application of genetic algorithms in stereo matching, two measures are proposed. Firstly, the strategy of simplified population-based incremental learning (PBIL) is adopted to reduce the problems with memory consumption and search inefficiency, and a scheme for controlling the distance of neighbors for disparity smoothness is inserted to obtain a wide-area consistency of disparities. In addition, an alternative version of the proposed algorithm, without the use of a probability vector, is also presented for simpler set-ups. Secondly, programmable graphics-hardware (GPU) consists of multiple multi-processors and has a powerful parallelism which can perform operations in parallel at low cost. Therefore, in order to decrease the running time further, a model of the proposed algorithm, which can be run on programmable graphics-hardware (GPU), is presented for the first time. The algorithms are implemented on the CPU as well as on the GPU and are evaluated by experiments. The experimental results show that the proposed algorithm offers better performance than traditional BMA methods with a deliberate relaxation and its modified version in terms of both running speed and stability. The comparison of computation times for the algorithm both on the GPU and the CPU shows that the former has more speed-up than the latter, the bigger the image size is.

Implementation of Multiview Stereoscopic 3D Display System using Volume Holographic Lenticular Sheet (VHLS 광학판 기반의 다시점 스테레오스코픽 3D 디스플레이 시스템의 구현)

  • 이상우;이맹호;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5C
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    • pp.716-725
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    • 2004
  • In this paper, a new multiview stereoscopic 3D display system using a VHLS(volume holographic lenticular sheet) is suggested. The VHLS, which acts just like an optical direction modulator, can be implemented by recording the diffraction gratings corresponding each directional vector of the multiview stereoscopic images in the holographic recording material by using the angularly multiplexed recording property of the conventional volume hologram. Then, this fabricated VHLS is attached to the panel of a LCD spatial light modulator and used to diffract each of the multiview image loaded in a SLM to the corresponding spatial direction for making a 3D stereo view-zone. Accordingly, in this paper, the operational principle and characteristics of the VHLS are analyzed and an optimized 4-view VHLS is fabricated by using a commercial photopolymer. Then, a new VHLS-based 4-view stereoscopic 3D display system is implemented. Through some experimental results using a 4-view image synthesized with adaptive disparity estimation algorithm, it is suggested that implementation of a new VHLS-based multiview stereoscopic 3D display system can be possible.