• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.21-24
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• 2002

This paper presents a new method for the motion detection of vehicles using hierarchical motion estimation and parallel processing. It captures the road image by using a CMOS sensor. It divides the captured image into small blocks and detects the motion of each block by using a block-matching method which is based on a hierarchical motion estimation and parallel processing for the real-time processing. The parallelism is achieved by using the pipeline and the data flow technique. The proposed method has been implemented with an embedded system. Experimental results show that the proposed method detects the motion of vehicles in real-time.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.131-140
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• 2017

As video equipments such as CCTV are used for various purposes in fields of society, digital video data processing technology such as automatic motion detection is essential. In this paper, we proposed and implemented a more stable and accurate motion detection system based on background subtraction technique. We could improve the accuracy and stability of motion detection over existing methods by efficiently processing color information of digital image data. We divided the procedure of color information processing into each components of color information : brightness component, color component of color information and merge them. We can process each component's characteristics with maximum consideration. Our color information processing provides more efficient color information in motion detection than the existing methods. We improved the success rate of motion detection by our background update process that analyzed the characteristics of the moving background in the natural environment and reflected it to the background image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권10호
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• pp.2448-2463
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• 2013

The traditional block-based motion compensation methods in frame rate up-conversion (FRUC) only use a single uniquely motion vector field. However, there will always be some mistakes in the motion vector field whether the advanced motion estimation (ME) and motion vector analysis (MA) algorithms are performed or not. Once the motion vector field has many mistakes, the quality of the interpolated frame is severely affected. In order to solve the problem, this paper proposes a novel joint overlapped block motion compensation method (8J-OBMC) which adopts motion vectors of the interpolated block and its 8-neighbor blocks to jointly interpolate the target block. Since the smoothness of motion filed makes the motion vectors of 8-neighbor blocks around the interpolated block quite close to the true motion vector of the interpolated block, the proposed compensation algorithm has the better fault-tolerant capability than traditional ones. Besides, the annoying blocking artifacts can also be effectively suppressed by using overlapped blocks. Experimental results show that the proposed method is not only robust to motion vectors estimated wrongly, but also can to reduce blocking artifacts in comparison with existing popular compensation methods.

• 한국멀티미디어학회논문지
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• 제6권7호
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• pp.1189-1199
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• 2003

본 논문에서는 계층화 모션 추정법과 병렬 처리를 이용한 차량의 움직임 측정 알고리즘을 제안한다. 본 시스템에서는 CMOS 센서를 통하여 도로 영상을 캡쳐한다. 그 다음에 영상을 작은 블록들로 나누고 블록매칭을 이용하여 각 블록의 움직임을 계산한다. 그리고 움직임이 비슷한 블록들을 클러스터링하여 차량의 움직임을 측정한다. 본 논문에서는 실시간 동작을 위하여 계층화 모션 추정법과 병렬 처리에 의거한 블록매칭 알고리즘을 제안한다. 병렬처리를 위해서는 파이프라인과 데이터 플로우 기법을 도입하였다. 본 논문에서 제안된 시스템은 기존의 내장형 시스템을 이용하여 구현되었다. 제안된 블록매칭 알고리즘은 PLD(Programmable Logic Device)를 이용하여 구현하였고 클러스터링 알고리즘은 ARM 프로세서를 이용하여 구현하였다. 실험 결과에 의하면 본 논문에서 구현된 시스템은 차량의 움직임을 실시간으로 추출할 수 있었다.

• Journal of Information Processing Systems
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• 제19권3호
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• pp.370-376
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• 2023

Aiming at the problems of low image enhancement accuracy, long enhancement time and poor image quality in the traditional robot sequence motion image enhancement methods, an adaptive enhancement method for robot sequence motion image is proposed. The feature representation of the image was obtained by Karhunen-Loeve (K-L) transformation, and the nonlinear relationship between the robot joint angle and the image feature was established. The trajectory planning was carried out in the robot joint space to generate the robot sequence motion image, and an adaptive homomorphic filter was constructed to process the noise of the robot sequence motion image. According to the noise processing results, the brightness of robot sequence motion image was enhanced by using the multi-scale Retinex algorithm. The simulation results showed that the proposed method had higher accuracy and consumed shorter time for enhancement of robot sequence motion images. The simulation results showed that the image enhancement accuracy of the proposed method could reach 100%. The proposed method has important research significance and economic value in intelligent monitoring, automatic driving, and military fields.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권12호
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• pp.3315-3337
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• 2012

Crowded scenes analysis is a challenging topic in computer vision field. How to detect diverse motion patterns in crowded scenarios from videos is the critical yet hard part of this problem. In this paper, we propose a novel approach to mining motion patterns by utilizing motion information during both long-term period and short interval simultaneously. To capture long-term motions effectively, we introduce Motion History Image (MHI) representation to access to the global perspective about the crowd motion. The combination of MHI and optical flow, which is used to get instant motion information, gives rise to discriminative spatial-temporal motion features. Benefitting from the robustness and efficiency of the novel motion representation, the following motion pattern mining is implemented in a completely unsupervised way. The motion vectors are clustered hierarchically through automatic hierarchical clustering algorithm building on the basis of graphic model. This method overcomes the instability of optical flow in dealing with time continuity in crowded scenes. The results of clustering reveal the situations of motion pattern distribution in current crowded videos. To validate the performance of the proposed approach, we conduct experimental evaluations on some challenging videos including vehicles and pedestrians. The reliable detection results demonstrate the effectiveness of our approach.

• 반도체디스플레이기술학회지
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• 제12권3호
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• pp.13-18
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• 2013

Motion estimation is a key technique of modern video processing that significantly improves the coding efficiency significantly by exploiting the temporal redundancy between successive frames. Thread-level parallelism is a promising method to accelerate the motion estimation process for multithreading general-purpose processors. In this paper, we propose a parallel motion estimation algorithm which parallelizes the motion search process of the current H.264/AVC encoder. The proposed algorithm is implemented using the OpenMP application programming interface (API) and can be easily integrated into the current encoder. The experimental results show that the proposed parallel algorithm can reduce the processing time of the motion estimation up to 65.08% without any penalty in the rate-distortion (RD) performance.

• 전기전자학회논문지
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• 제21권1호
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• pp.100-103
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• 2017

움직임 추정기는 동영상 압축에서 가장 많은 연산량을 차지하는 연산으로, 처리 속도를 맞추기 위해 다수의 단위 연산기를 병렬로 사용하는 경우가 많다. 단위 연산기를 많이 사용할수록 처리 속도가 빨라지지만 하드웨어 면적도 커지기 때문에 단위 연산기의 개수를 최적화하는 것이 중요하다. HEVC(high efficiency video coding)의 경우 연산량을 줄이고 성능을 높이기 위해서 다단계 움직임 추정 기법을 주로 사용하는데, 각 단계마다 탐색점의 개수 및 위치가 다르기 때문에 단위 연산기의 사용률이 항상 100%가 되지 않으며 단위 연산기의 개수에 따라 사용률이 크게 달라진다. 본 논문에서는 단위 연산기의 사용률과 연산 사이클을 계산하여 주어진 움직임 추정 기법에 최적화된 단위 연산기 개수를 찾아 내는 방법을 제안한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(5)
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• pp.199-202
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• 2001

In this paper, we propose new method of signal processing for the Pulse Oximeter for resistant motion artifact. When measure Oxygen saturation, today Pulse Oximeter is low reality because of patient moving, and it low difficult to filtering because of overlap Oxygen saturation and motion artifact. For we measure high reality Oxygen saturation, we reduces motion artifact. In this paper, we Propose and simulate method of signal processing for the Pulse Oximeter for resistant motion artifact.

• 한국콘텐츠학회논문지
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• 제9권2호
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• pp.1-9
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• 2009

본 논문은 H.264/AVC 부호화기의 실시간 동영상 부호화를 위한 하드웨어 구현과정 중 파이프라인 구조의 병렬 처리로 인한 데이터 부재문제의 해결방안을 제시하였다. 참조 소프트웨어(JM)의 움직임 추정 연산은 순차적인 처리가 가능하기 때문에 모든 데이터가 유효하지만, 파이프라인 구조로 하드웨어를 구현시 데이터가 병렬적으로 처리되므로 이전데이터가 유효하지 않은 경우가 발생한다. 본 논문에서는 MVp 연산시의 부재되는 데이터 문제를 해결하였다. 제안된 방법은 유효하지 않은 주변블록의 데이터(MV)로 인한 화질저하를 최소화하기 위하여 유효하지 않은 MV를 대신하여, 정수화소 움직임벡터, MVp(Motion Vector Predictor), MVcol(Motion vector of the Co-located block)을 사용하는 방법이다. BDPSNR로 실험 결과 같은 주제로 이전에 연구된 Huang[7]의 실험결과에 비하여 최대 QCIF영상에서 0.555dB, CIF 영상에서 0.834dB의 성능향상을 나타내고 있다.