• Title/Summary/Keyword: Target region

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Opto-Digital Implementation of Convergence-Controlled Stereo Target Tracking System (주시각이 제어된 스테레오 물체추적 시스템의 광-디지털적 구현)

  • 고정환;이재수;김은수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.4B
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    • pp.353-364
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    • 2002
  • In this paper, a new onto-digital stereo object-tracking system using hierarchical digital algorithms and optical BPEJTC is proposed. This proposed system can adaptively track a moving target by controlling the convergence of stereo camera. firstly, the target is detected through the background matching of the sequential input images by using optical BPEJTC and then the target area is segmented by using the target projection mask which is composed by hierarchical digital processing of image subtraction, logical operation and morphological filtering. Secondly, the location's coordinate of the moving target object for each of the sequential input frames can be extracted through carrying out optical BPEJTC between the reference image of the target region mask and the stereo input image. Finally, the convergence and pan/tilt of stereo camera can be sequentially controlled by using these target coordinate values and the target can be kept in tracking. Also, a possibility of real-time implementation of the adaptive stereo object tracking system is suggested through optically implementing the proposed target extraction and convergence control algorithms.

Small Target Detection Using 3-dimensional Bilateral Filter (3차원 양방향 필터를 이용한 소형 표적 검출)

  • Bae, Tae-Wuk
    • Journal of Korea Multimedia Society
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    • v.16 no.6
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    • pp.746-755
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    • 2013
  • This paper presents a three dimensional bilateral filter detecting target trajectory, extracting spatial target information using two dimensional bilateral filter and temporal target information using one dimensional bilateral filter. In order to discriminate edge pixel with flat background and target region spatially and temporally, spatial and temporal variance are used for an image and temporal profile. With this procedure, background and background profile are predicted without original target through two dimensional and one dimensional bilateral filter. Finally, using spatially predicted background and temporally predicted background profile, small target can be detected. For comparison of existing target detection methods and the proposed method, the receiver operating characteristics (ROC) is used in experimental results. Experimental results show that the proposed method has superior target detection rate and lower false alarm rate.

The Objective Measurement of the Lung Parenchyma Motion for Planning Target Volume Delineation (폐 부위 Planning Target Volume(PTV)설정시 폐 움직임의 객관적 측정)

  • Chung, Weon-Kyu;Cho, Jeong-Gill
    • Radiation Oncology Journal
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    • v.15 no.4
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    • pp.387-392
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    • 1997
  • Purpose : To quantify the movement of lung Parenchyma for ICRU 50 Planning Target Volume (PTV) delineation of the lung region. Materials and Method : Fluoroscopic observations and measurements are Performed on 10 patients with chest region cancer who have normal putmonary functions We have divided the lung region into 12 parts for the right lung, 10 parts for the left lung and four to five Points of lung parenchyma were selected for anatomical analysis Points, Fluoroscopic images are sent to a computer and then movements are measured. Results : Both lowe lobes showed the longest longitudinal movements because of breathing (average 14.1mm, maximum 22.1mm), while anteroposterior displacement showed the smallest value. Lateral movements of the lung parenchyma averaged 6.6mm, and the maximum value was 9.1mm, (both hilar regions showed maximum values because of cardiac motion) Conclusion : We could quantify the lung movements by measuring parenchyma displacements. The movements of both upper lobes were less than those of the middle and upper lobes in longitudinal and transverse movements. Optimal margins can be selected for PTV delineation using these results.

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Estimation of Angular Location and Directivity Compensation of Split-beam Acoustic Transducer for a 50 kHz Fish Sizing Echo Sounder (50 kHz 체장어군탐지기용 분할 빔 음향 변환기의 지향성 보정 및 위치각 추정)

  • Lee, Dae-Jae
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.44 no.4
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    • pp.423-430
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    • 2011
  • The most satisfactory split-beam transducer for fish sizing maintains a wide bearing angle region for correct fish tracking without interference from side lobes and lower sensitivity to fish echoes outside of the main lobe region to correctly measure the angular location of free-swimming fishes in the sound beam. To evaluate the performance of an experimentally developed 50 kHz split-beam transducer, the angular location of a target was derived from the electrical phase difference between the resultant signals for the pair of transducer quadrants in the horizontal and vertical planes consisting of 32 transducer elements. The electrical phase difference was calculated by cross-spectral density analysis for the signals from the pair of receiving transducer quadrants, and the directivity correction factor for a developed split-beam transducer was estimated as the fourth-order polynomial of the off-axis beam angle for the angular location of the target. The experimental results demonstrate that the distance between the acoustic centers for the pair of receiving transducer quadrants can be controlled to less than one wavelength by optimization with amplitude-weighting transformers, and a smaller center spacing provides a range of greater angular location for tracking of a fish target. In particular, a side lobe level of -25.2 dB and an intercenter spacing of $0.96\lambda$($\lambda$= wavelength) obtained in this study suggest that the angular location of fish targets distributing within a range of approximately ${\pm}28^{\circ}$ without interference from side lobes can be measured.

An Energy-Efficient Routing Protocol for Data Collection in Wireless Sensor Network (WSN 환경에서 데이터 수집을 위한 에너지 효율적인 전송경로 설정 프로토콜)

  • Kim, Bo-Seung;Jung, Ki-Won;Shin, Yong-Tae;Son, Young-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2A
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    • pp.160-171
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    • 2011
  • The one of the core technologies for ubiquitous computing is WSN. WSN detects the information from the environment around them based on the information perceived from the human and all things and manages the information by connecting to the network in realtime. In this environment, the existing research provides the mechanism that most of sensor nodes in the target area can set the transmission path using RGF. However, unrelated to the target area will be responsible for the energy consumption of nodes that are the problem. In this paper, we propose EEDCP protocol. It is designed to collect data from the specific region on sinks in WSN. EEDCP is the protocol that sets the transmission path for collection data inside the target area in WSN. And this paper is shown that the proposed scheme is more efficient in the energy efficiency and the occurrence rate of isolated nodes by comparison with the previous studies through simulation.

An Approach to Target Tracking Using Region-Based Similarity of the Image Segmented by Least-Eigenvalue (최소고유치로 분할된 영상의 영역기반 유사도를 이용한 목표추적)

  • Oh, Hong-Gyun;Sohn, Yong-Jun;Jang, Dong-Sik;Kim, Mun-Hwa
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.4
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    • pp.327-332
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    • 2002
  • The main problems of computational complexity in object tracking are definition of objects, segmentations and identifications in non-structured environments with erratic movements and collisions of objects. The object's information as a region that corresponds to objects without discriminating among objects are considered. This paper describes the algorithm that, automatically and efficiently, recognizes and keeps tracks of interest-regions selected by users in video or camera image sequences. The block-based feature matching method is used for the region tracking. This matching process considers only dominant feature points such as corners and curved-edges without requiring a pre-defined model of objects. Experimental results show that the proposed method provides above 96% precision for correct region matching and real-time process even when the objects undergo scaling and 3-dimen-sional movements In successive image sequences.

Molecular Cloning And analysis of Korean Insulin Gene (한국인 인슈린 유전자의 클로닝 및 분석)

  • 김형민;한상수;고건일;손동환;전창덕;정헌택;김재백
    • YAKHAK HOEJI
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    • v.37 no.5
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    • pp.504-510
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    • 1993
  • Human insulin gene is consisted of the polymorphic region with the repeating units, the regulatory sequence, the structural gene including the intervening sequence, and 3'-flanking region. The polymerase chain reaction, which amplifies the target DNA between two specific primers, has been performed for the amplification of human insulin gene and simple one-step cloning of it into Escherichia coli. Out of 1727 nuceotides compared, only 4 sites were variable: 5'-regulatory region(G2101$\rightarrow$AGG); IVS I(T2401$\rightarrow$A); Exon II(C2411 deletion); IVS II(A2740 dejection). The variations at the G2101 and T2401 were the same as those found in one American allele. The other two variations were observed only in the specific Korean allele. And, the enzyme digestion patterns among normal, insulin dependent diabetes mellitus, and non-insulin dependent diabetes mellitus were the same. On the other hand, PCR method showed the possibility of the quickaccess for the polymorphic region in terms of the restriction fragment length of polymorphism.

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Energy-Efficient Adaptive Dynamic Sensor Scheduling for Target Monitoring in Wireless Sensor Networks

  • Zhang, Jian;Wu, Cheng-Dong;Zhang, Yun-Zhou;Ji, Peng
    • ETRI Journal
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    • v.33 no.6
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    • pp.857-863
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    • 2011
  • Due to uncertainties in target motion and randomness of deployed sensor nodes, the problem of imbalance of energy consumption arises from sensor scheduling. This paper presents an energy-efficient adaptive sensor scheduling for a target monitoring algorithm in a local monitoring region of wireless sensor networks. Owing to excessive scheduling of an individual node, one node with a high value generated by a decision function is preferentially selected as a tasking node to balance the local energy consumption of a dynamic clustering, and the node with the highest value is chosen as the cluster head. Others with lower ones are in reserve. In addition, an optimization problem is derived to satisfy the problem of sensor scheduling subject to the joint detection probability for tasking sensors. Particles of the target in particle filter algorithm are resampled for a higher tracking accuracy. Simulation results show this algorithm can improve the required tracking accuracy, and nodes are efficiently scheduled. Hence, there is a 41.67% savings in energy consumption.

Structure of Ti and Al Films Prepared by Cylindrical Sputtering System (원통형 스퍼터링 장치로 제작한 Ti 및 Al 박막구조)

  • Oh, Chang-Sup;Han, Chang-Suk
    • Korean Journal of Materials Research
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    • v.24 no.7
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    • pp.344-350
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    • 2014
  • Metal films (i.e., Ti, Al and SUH310S) were prepared in a magnetron sputtering apparatus, and their cross-sectional structures were investigated using scanning electron microscopy. The apparatus used consisted of a cylindrical metal target which was electrically grounded, and two anode rings attached to the top and to the bottom of the target. A wire was placed along the center-line of the cylindrical target to provide a substrate. When the electrical potential of the substrate was varied, the metal-film formation rate depended on both the discharge voltage and the electrical potential of the substrate. As we made the magnetic field stronger, the plasma which appeared near the target collected on the plasma wall surface and thereby decreased the bias current. The bias current on the conducting wire was different from that for cation collection. The bias current decreased because the collection of cations decreased when we increased the magnetic-coil current. When the substrate was electrically isolated, the films deposited showed a slightly coarse columnar structure with thin voids between adjacent columns. In contrast, in the case of the grounded substrate, the deposited film did not show any clear columns but instead, showed a densely-packed granular structure. No peeling region was observed between the film and substrate, indicating good adhesion.

An Improved ViBe Algorithm of Moving Target Extraction for Night Infrared Surveillance Video

  • Feng, Zhiqiang;Wang, Xiaogang;Yang, Zhongfan;Guo, Shaojie;Xiong, Xingzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.12
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    • pp.4292-4307
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    • 2021
  • For the research field of night infrared surveillance video, the target imaging in the video is easily affected by the light due to the characteristics of the active infrared camera and the classical ViBe algorithm has some problems for moving target extraction because of background misjudgment, noise interference, ghost shadow and so on. Therefore, an improved ViBe algorithm (I-ViBe) for moving target extraction in night infrared surveillance video is proposed in this paper. Firstly, the video frames are sampled and judged by the degree of light influence, and the video frame is divided into three situations: no light change, small light change, and severe light change. Secondly, the ViBe algorithm is extracted the moving target when there is no light change. The segmentation factor of the ViBe algorithm is adaptively changed to reduce the impact of the light on the ViBe algorithm when the light change is small. The moving target is extracted using the region growing algorithm improved by the image entropy in the differential image of the current frame and the background model when the illumination changes drastically. Based on the results of the simulation, the I-ViBe algorithm proposed has better robustness to the influence of illumination. When extracting moving targets at night the I-ViBe algorithm can make target extraction more accurate and provide more effective data for further night behavior recognition and target tracking.