• Title/Summary/Keyword: Multiple Target

Search Result 1,486, Processing Time 0.028 seconds

Distribution of Target Bits based on Size, Motion and Distortion (크기, 움직임 및 왜곡 정보에 의한 목표비트 분배)

  • 지석상;황재정;이문호
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.4 no.5
    • /
    • pp.1085-1093
    • /
    • 2000
  • An efficient bit rate distribution technique that distributes available bits for multiple objects based on motion vector magnitude, size of object shape, and coding distortion is presented. This coding concept using the three parameters was exploited in MPEG-4 multiple object coding. But the scheme is likely to produce poor results such as allocating more bits to less important objects and degrading picture quality, due to the lack of analysis and research in view of human visual aspect. In this paper importance of each object is represented by the three parameters and visually analyzed. Target bits are distributed according to coding distortion using the pre-assigned shape and motion information.

  • PDF

Tracking a constant speed maneuvering target using IMM method

  • Lee, Jong-hyuk;Kim, Kyung-youn;Ko, Han-seok
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1995.10a
    • /
    • pp.484-487
    • /
    • 1995
  • An interacting multiple model (IMM) approach which merges two hypotheses for the situations of constant speed and constant acceleration model is considered for the tracking of maneuvering target. The inflexibility of uncertainty which lies in the kinematic constraint (KC) represented by pseudomeasurement noise variance is compensated by the mixing of estimates from two model Kalman tracker: one with KC and one without KC. The numerically simulated tracking performance is compared for the "great circular like turning" trajectory maneuver by the single model tracker with constant speed KC and two model tracker which is developed in this paper.his paper.

  • PDF

Target Measurement Error Reduction Technique of Suboptimal Binary Integration Radar (부 최적 이진누적 적용 레이더의 표적 측정오차 감소 기법)

  • Nam, Chang-Ho;Choi, Seong-Hee;Ra, Sung-Woong
    • Journal of the Institute of Electronics Engineers of Korea TC
    • /
    • v.48 no.9
    • /
    • pp.65-72
    • /
    • 2011
  • A binary integration is one of sub-optimal pulse integration which decides detection based on discriminating m successful detections out of n trials in radar systems using multiple pulse repetition frequencies. This paper introduces target measurement error reduction technique to reduce azimuth errors in suboptimal binary integration radar which applies the near value by m rather than the optimal m and verifies the performance by analyzing the experimental data measured from real radar.

A Study on Simultaneous Optimization of Multiple Response Surfaces (다중 반응표면분석에서의 최적화 문제에 관한 연구)

  • Yoo, Jeong-Bin
    • Journal of Korean Society for Quality Management
    • /
    • v.23 no.3
    • /
    • pp.84-92
    • /
    • 1995
  • A method is proposed for the simultaneous optimization of several response functions that depend on the same set of controllable variables and are adequately represented by a response surface model (polynomial regression model) with the same degree and with constraint that the individual responses have the target values. First, the multiple responses data are checked for linear dependencies among the responses by eigenvalue analysis. Thus a set of responses with no linear functional relationships is used in developing a function that measures the distance estimated responses from the target values. We choose the optimal condition that minimizes this measure. Also, under the different degree of importance two step procedures are proposed.

  • PDF

Development of Next Generation Biochip Using Indicator-free DNA (비수식화 DNA를 이용한 차세대형 바이오칩의 개발)

  • Choi, Yong-Sung;Moon, Jong-Dae;Lee, Kyung-Sup
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • 2006.05a
    • /
    • pp.71-73
    • /
    • 2006
  • This research aims to develop a multiple channel electrochemical DNA chip using micro- fabrication technology. At first, we fabricated a high integrated type DNA chip array by lithography technology. Several probe DNAs consisting of thiol group at their 5-end were immobilized on the gold electrodes. Then target DNAs were hybridized by an electrical force. Redox peak of cyclic-voltammogram showed a difference between target DNA and mismatched DNA in the anodic peak current. Therefore. it is able to detect a various genes electrochemically after immobilization of a various probe DNA and hybridization of label-free DNA on the electrodes simultaneously. It suggested that this DNA chip could recognize the sequence specific genes.

  • PDF

An Improved Reticle Seeker Using the Segmented Forcal Plane Array (segmented Focal Plane Array를 이용한 개선된 레티클 탐색기)

  • 홍현기;한성현;최종수
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.21 no.10
    • /
    • pp.2670-2678
    • /
    • 1996
  • Reticle seekers temporally modulate target location onto the incoming spatial signal. When large or multiple targets are present in the FOV, however, it is hard to precisely modulate the incoming target signal by the relicle. To solve this loss of modulatoin depth problem, we present an improved retical seeker using the segmented focal plane array(FPA). The new reticle system uses the normalized difference as well as the modulated signal of each detector output in the segmented FPA. In simulation, we have ascertained the proposed system can make an effective analysis and tracking for multiple or large targets.

  • PDF

Maneuvering Target Tracking Using the IMM method Based on Intelligent Input Estimation (지능형 입력추정에 기반한 상호작용 다중모델 기법을 이용한 기동표적 추적)

  • Lee, Bum-Jik;Joo, Young-Hoon;Park, Jin-Bae
    • Proceedings of the KIEE Conference
    • /
    • 2003.07d
    • /
    • pp.2085-2087
    • /
    • 2003
  • A new interacting multiple model (IMM) method based on intelligent input estimation (IIE) is proposed for tracking a maneuvering target. In the proposed method, the acceleration level of each sub-filter is determined by IIE using the fuzzy system, which is optimized by the genetic algorithm (GA). The tracking performance of the proposed method is compared with those of the input estimation (IE) technique and the adaptive interacting multiple model (AIMM) method in computer simulations.

  • PDF

Consensus of Leader-Follower Multi-Vehicle System

  • Zhao, Enjiao;Chao, Tao;Wang, Songyan;Yang, Ming
    • International Journal of Aeronautical and Space Sciences
    • /
    • v.18 no.3
    • /
    • pp.522-534
    • /
    • 2017
  • According to the characteristics of salvo attack for the multiple flight vehicles (MFV), the design of cooperative guidance law can be converted into the consensus problem of multi-vehicle system through the concept of multi-agent cooperative control. The flight vehicles can be divided into leader and followers depending on different functions, and the flight conditions of leader are independent of the ones of followers. The consensus problem of leader-follower multi-vehicle system is researched by graph theory, and the consensus protocol is also presented. Meanwhile, the finite time guidance law is designed for the flight vehicles via the finite time control method, and the system stability is also analyzed. Whereby, the guidance law can guarantee the line of sight (LOS) angular rates converge to zero in finite time, and hence the cooperative attack of the MFV can be realized. The effectiveness of the designed cooperative guidance method is validated through the simulation with a stationary target and a moving target, respectively.

Localization of Subsurface Targets Based on Symmetric Sub-array MIMO Radar

  • Liu, Qinghua;He, Yuanxin;Jiang, Chang
    • Journal of Information Processing Systems
    • /
    • v.16 no.4
    • /
    • pp.774-783
    • /
    • 2020
  • For the issue of subsurface target localization by reverse projection, a new approach of target localization with different distances based on symmetric sub-array multiple-input multiple-output (MIMO) radar is proposed in this paper. By utilizing the particularity of structure of the two symmetric sub-arrays, the received signals are jointly reconstructed to eliminate the distance information from the steering vectors. The distance-independent direction of arrival (DOA) estimates are acquired, and the localizations of subsurface targets with different distances are realized by reverse projection. According to the localization mechanism and application characteristics of the proposed algorithm, the grid zooming method based on spatial segmentation is used to optimize the locaiton efficiency. Simulation results demonstrate the effectiveness of the proposed localization method and optimization scheme.

Implementation of Moving Object Recognition based on Deep Learning (딥러닝을 통한 움직이는 객체 검출 알고리즘 구현)

  • Lee, YuKyong;Lee, Yong-Hwan
    • Journal of the Semiconductor & Display Technology
    • /
    • v.17 no.2
    • /
    • pp.67-70
    • /
    • 2018
  • Object detection and tracking is an exciting and interesting research area in the field of computer vision, and its technologies have been widely used in various application systems such as surveillance, military, and augmented reality. This paper proposes and implements a novel and more robust object recognition and tracking system to localize and track multiple objects from input images, which estimates target state using the likelihoods obtained from multiple CNNs. As the experimental result, the proposed algorithm is effective to handle multi-modal target appearances and other exceptions.