• Title, Summary, Keyword: frame difference

Search Result 722, Processing Time 0.047 seconds

Object Tracking Using Template Based on Adaptive 3-Frame Difference (적응적 3 프레임 차분 방법 기반 템플릿을 이용한 객체 추적)

  • Kim, Hun-Ki;Lee, Jin-Hyung;Cho, Seong-Won;Chung, Sun-Tae;Kim, Jae-Min
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.17 no.3
    • /
    • pp.349-354
    • /
    • 2007
  • To generate the template of a detected object and to track the overlapped object and the object covered by other objects correctly are important research problems in visual surveillance. The frame difference is not capable of generating the template of slowly moving object. To get around the drawback of the conventional frame difference, we propose a new algorithm for generating a template using adaptive 3-frame difference.

Motion Estimation using new blocks based on the Frame Difference for Frame Rate-up Conversion

  • Kwak, Tong-Ill;Yun, Jong-Ho;Cho, Hwa-Hyun;Choi, Myung-Ryul
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • /
    • pp.1043-1046
    • /
    • 2008
  • In this paper, we propose a Motion Estimation (ME) using new blocks based on the Frame Difference (FD) between two adjacent frames for Frame Rate-up Conversion (FRC). The proposed algorithm decides the shape of blocks by the FD. The experimental results show that the proposed method has better performance than conventional methods.

  • PDF

Gunnery Detection Method Using Reference Frame Modeling and Frame Difference (참조 프레임 모델링과 차영상을 이용한 포격 탐지 기법)

  • Kim, Jae-Hyup;Song, Tae-Eun;Ko, Jin-Shin;Moon, Young-Shik
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.49 no.4
    • /
    • pp.62-70
    • /
    • 2012
  • In this paper, we propose the gunnery detection method based on reference frame modeling and frame difference method. The frame difference method is basic method in target detection, and it's applicable to the detection of moving targets. The goal of proposed method is the detection of gunnery target which has huge variation of energy and size in the time domain. So, proposed method is based on frame difference, and it guarantee real-time processing and high detection performance. In the method of frame difference, it's important to generate reference frame. In the proposed method, reference frame is modeled and updated in real time processing using statistical values for each pixels. We performed the simulation on 73 IR video data that has gunnery targets, and the experimental results showed that the proposed method has 95.7% detection ratio under condition that false alarm is 1 per hour.

Object Tracking Using Template Based on Adaptive 3-Frame Difference (Adaptive 3-Frame Difference 기반 템플릿을 이용한 객체 추적)

  • Kim, Heon-Gi;Lee, Jin-Hyeong;Gang, Ji-Un;Jo, Seong-Won;Kim, Jae-Min;Jeong, Seon-Tae;Jang, Yong-Seok
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • /
    • pp.357-360
    • /
    • 2007
  • 물체를 추적하는데 있어서 추적하고자 하는 물체를 검출하여 템플릿을 만드는 것과 두 물체가 겹쳐지거나 다른 배경에 가려진 물체를 구분하여 추적하는 것은 물체 추적에 있어서 중요한 문제이다. 물체를 검출하여 템플릿을 만드는 방법으로 frame difference를 이용하면 천천히 움직이는 물체를 잘 구분할 수 없는 문제점이 있다. 이를 해결하기 위하여 본 논문에서는 adaptive 3-frame difference를 이용하여 정확한 물체의 템플릿을 생성하는 알고리즘을 제안한다.

  • PDF

Tracking Moving Objects Using an Active Contour Model Based on a Frame Difference Map (차 영상 맵 기반의 능동 윤곽선 모델을 이용한 이동 물체 추적)

  • 이부환;전기준
    • Proceedings of the IEEK Conference
    • /
    • /
    • pp.153-156
    • /
    • 2003
  • This paper proposes a video tracking method for a deformable moving object using an active contour model. In order to decide the convergent directions of the contour points automatically, a new energy function based on a frame difference map and an updating rules of the frame difference map are presented. Experimental results on a set of synthetic and real image sequences showed that the proposed method can fully track a speedy deformable object while extracting the boundary of the object exactly in every frame.

  • PDF

A Motion Estimation Using Adaptively Expanded Block based on Frame Difference for Frame Interpolation (프레임 보간을 위한 프레임 차이 기한의 적응형 확장 블록 움직임 추정)

  • Kwak, Tong-Ill;Cho, Hwa-Hyun;Yun, Jong-Ho;Hwang, Bo-Hyun;Choi, Myung-Ryul
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.33 no.8C
    • /
    • pp.598-604
    • /
    • 2008
  • The hold-type display panel such as a liquid crystal displays(LCD) has problem of motion blur. The problem can be improved by a Frame Rate-up Conversion(FRC) using a frame interpolation. We propose a Motion Estimation(ME) by using adaptively expanded block based on frame difference for PRC. The proposed method is executed using an adaptively expanded block in order to get more accurate motion vector. By using frame difference, we can reduce complexity more significantly than conventional methods. We use quantitative analysis in order to evaluate experimental results. The results show that the proposed method has better performance and lower complexity than conventional methods.

Performance Analysis of DVC Scheme with Adaptive Gray Code for Frame Difference Signal (화면 간 차이신호에 대한 적응적 그레이코드를 이용한 분산 비디오 부호화 기법의 성능 분석)

  • Kim, Jin-Soo;Kim, Jae-Gon;Choi, Hae-Chul
    • Journal of Broadcast Engineering
    • /
    • v.17 no.5
    • /
    • pp.876-890
    • /
    • 2012
  • In this paper, we investigated the performances of the distributed video codec with adaptive Gray code to apply for frame-difference signal. That is, the best cases and the worst cases were analyzed and compared by considering the statistical characteristics of the frame difference signal in view of the Gray code allocation. Through computer simulations, if 9-bit data for frame difference signal is generated for luminance signal with 8-bit definition and so n-bit is allocated to the quantized coefficient, we were able to find the best method to reduce the virtual channel noise by adding $256+2^{9-n-1}$ to the frame difference signal. Through computer simulation with test video sequences, it was shown that the performance difference between the best cases and the worst cases is larger than about 1.5dB at same rate. It is expected that the results in this paper are applicable for the transform-domain scheme as well as the pixel-domain scheme.

An Automatic Cut Detection Algorithm Using Median Filter And Neural Network ITC-CSCC'2000

  • Jun, Seung-Chul;Park, Sung-Han
    • Proceedings of the IEEK Conference
    • /
    • /
    • pp.1049-1052
    • /
    • 2000
  • In this paper, an efficient method to find cut in the MPEG stream data is proposed. For this purpose, histogram difference and pixel difference is considered as a noise signal. The signal is then filtered out by a median filter to make the frame difference larger. The frame difference obtained in this way is classified into cut frame and non-cut frame by the 2-means clustering without using any threshold value. To improve the classification ratio, a back-propagation neural network is constructed, where outputs of 2-means clustering are used as the inputs of the network. The simulation results demonstrate the performance of the proposed methods.

  • PDF

Wavelet analysis based damage localization in steel frames with bolted connections

  • Pnevmatikos, Nikos G.;Blachowski, Bartlomiej;Hatzigeorgiou, George D.;Swiercz, Andrzej
    • Smart Structures and Systems
    • /
    • v.18 no.6
    • /
    • pp.1189-1202
    • /
    • 2016
  • This paper describes an application of wavelet analysis for damage detection of a steel frame structure with bolted connections. The wavelet coefficients of the acceleration response for the healthy and loosened connection structure were calculated at each measurement point. The difference of the wavelet coefficients of the response of the healthy and loosened connection structure is selected as an indicator of the damage. At each node of structure the norm of the difference of the wavelet coefficients matrix is then calculated. The point for which the norm has the higher value is a candidate for location of the damage. The above procedure was experimentally verified on a laboratory-scale 2-meter-long steel frame. The structure consists of 11 steel beams forming a four-bay frame, which is subjected to impact loads using a modal hammer. The accelerations are measured at 20 different locations on the frame, including joints and beam elements. Two states of the structure are considered: healthy and damaged one. The damage is introduced by means of loosening two out of three bolts at one of the frame connections. Calculating the norm of the difference of the wavelet coefficients matrix at each node the higher value was found to be at the same location where the bolts were loosened. The presented experiment showed the effectiveness of the wavelet approach to damage detection of frame structures assembled using bolted connections.

Tracking a Moving Object Using an Active Contour Model Based on a Frame Difference Map (차 영상 맵 기반의 능동 윤곽선 모델을 이용한 이동 물체 추적)

  • 이부환;김도종;최일;전기준
    • Journal of the Institute of Electronics Engineers of Korea SP
    • /
    • v.41 no.5
    • /
    • pp.153-163
    • /
    • 2004
  • This paper presents a video tracking method for a deformable moving object using an active contour model in the image sequences. It is quite important to decide the local convergence directions of the contour points for correctly extracting the boundary of the moving object with deformable shape. For this purpose, an energy function for the active contour model is newly proposed by adding a directional energy term using a frame difference map to tile Greedy algorithm. In addition, an updating rule of tile frame difference map is developed to encourage the stable convergence of the contour points. Experimental results on a set of synthetic and real image sequences showed that the proposed method can fully track the deformable object while extracting the boundary of the object elaborately in every frame.