• Title/Summary/Keyword: Surveillance Control

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Design of a Miniature Sphere Type Throwing Robot with an Axial Direction Shock Absorption Mechanism (축방향 충격흡수 향상을 위한 소형구형 투척 로봇구조 설계)

  • Jung, Wonsuk;Kim, Young-Keun;Kim, Soohyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.4
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    • pp.361-366
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    • 2015
  • In this paper, we propose a novel surveillance throwing robot which is compact, light-weight and has an efficient shock absorption mechanism. The throwing robot is designed in a spherical shape to be easily grabbed by a hand for throwing. Also, a motor-wheel linking mechanism is designed to be robustly protected from shocks upon landing. The proposed robot has a weight of 2.2kg and the diameter of its wheels is 150 mm. Through the field experiments, the designed robot is validated to withstand higher than 13Ns of impulse.

Traffic Adaptive Wakeup Control Mechanism in Wireless Sensor Networks (무선 센서 네트워크에서 트래픽 적응적인 wakeup 제어 메커니즘)

  • Kim, Hye-Yun;Kim, Seong-Cheol;Jeon, Jun-Heon;Kim, Joon-Jae
    • Journal of Korea Multimedia Society
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    • v.17 no.6
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    • pp.681-686
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    • 2014
  • In this paper, we propose a traffic adaptive mechanism that controls the receiver's wakeup periods based on the generated traffic amounts. The proposed control mechanism is designed for military, wild animal monitoring, and forest fire surveillance applications. In these environments, a low-rate data transmission is usually required between sensor nodes. However, continuous data is generated when events occur. Therefore, legacy mechanisms are ineffective for these applications. Our control mechanism showed a better performance in energy efficiency compared to the RI-MAC owing to the elimination of the sender node's idle listening.

First Principle Approach to Modeling of Primitive Quad Rotor

  • Sudiyanto, Tata;Muljowidodo, Muljowidodo;Budiyono, Agus
    • International Journal of Aeronautical and Space Sciences
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    • v.10 no.2
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    • pp.148-160
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    • 2009
  • By the development of recent technology, a new variant of rotorcrafts having four rotors start drawing attention from aerial-robotics engineers more than before. Its potential spans from just being control device test bed to performing difficult task such as carrying surveillance device to unreachable places. In this regards, modeling a quad-rotor is significant in analyzing its dynamic behavior and in synthesizing control system for such a vehicle. This paper summarizes the modeling of a mini quad-rotor aerial vehicle. A first principle approach is considered for deriving the model based on Euler-Newton equations of motion. The result of the modeling is a simulation platform that is expected to acceptably predict the dynamic behavior of the quad-rotor in various flight conditions. Linear models associated with different flight condition can be extracted for the purpose of control synthesis.

Reconstruction of Partially Occluded Facial Image Utilizing KPCA-based Denoising Method (KPCA 기반 노이즈 제거 기법을 이용한 부분 손상된 얼굴 영상의 복원)

  • Kang Daesung;Kim Jongho;Park Jooyoung
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.247-250
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    • 2005
  • In numerous occasions, there is need to reconstruct partially occluded facial image. Typical examples include the recognition of criminals whose facial images are captured by surveillance cameras- ln such cases a significant part of the face is occluded making the process of identification extremely difficult, both for automatic face recognition systems and human observers. To overcome these difficulties, we consider the application of Kernel PCA-based denoising method to partially occluded facial image in this paper.

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Alternative Positioning, Navigation and Timing Using Multilateration in a Terminal Control Area (접근관제구역에서 다변측정감시시스템을 이용한 대안항법 방안 연구)

  • Jo, Sanghoon;Kang, Ja-young
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.23 no.3
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    • pp.35-41
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    • 2015
  • Multilateration(MLAT) is commonly used in civil and military surveillance applications to accurately locate an aircraft, vehicle or stationary emitter. MLAT calculates the TDOA of signals by transmitted aircraft and determines the aircraft's location. With more than four receivers it is possible to estimate the 3D position of the aircraft by calculating the intersection of the resulting hyperbolas and the system integrity. In this study, our objectives are to apply MLAT technique to Jeju terminal control area and to propose a MLAT receiver network to properly estimate the positions of aircraft approaching this area. Based on computer simulations, we determine locations of ground receivers in Jeju terminal control area, calculate estimated position errors of the aircraft with respect to the selected receiver networks, and find the best receiver network with the least position error.

Study of Monitoring Performance Measurement and Performance Evaluation for Car Surveillance using CCTV Camera (CCTV기반 차량관제의 성능 평가 및 관제율 측정 방법 연구)

  • Seo, Tae-Woong;Kim, Chang-Soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.802-804
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    • 2011
  • There are various monitoring and control system using CCTV camera. However, it is important to consider disaster and terrorism with unauthorized changes on location information. Therefore we analyzed performance of observation when the camera is break down as a result from hacking to CCTV monitoring and control system.

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The Improved Joint Bayesian Method for Person Re-identification Across Different Camera

  • Hou, Ligang;Guo, Yingqiang;Cao, Jiangtao
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.785-796
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    • 2019
  • Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

Embedded Image Processing of Surveillance Robot (감시용 로봇에서의 임베디드 영상처리 구현)

  • Shin, Seonwoong;Oh, Seyeop;Kim, Sanghoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1429-1430
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    • 2013
  • 본 논문은 진공흡착방식을 이용한 벽오르는 로봇에 탑재하기 위한 임베디드 시스템의 설계와 영상처리 알고리즘의 구현에 관한 연구이다. 벽면에서의 위험 요인 발견과 지능적인 처리를 위해 영상처리가 가능하고 원격의 스마트 단말기와 실시간 통신이 가능한 환경을 구축하였으며 이상 물질을 탐지하기 위해 색상성분을 정규화하고 특정객체를 탐지 후 영상을 전송하는 방법을 구현하였다. 이러한 기능은 무인로봇을 이용해 위험한 벽 환경에서의 균열이나 이상원인을 지능적으로 탐색하는 응용이 가능하다.

A Study of Intelligent Agent for Situation Assessment of Surveillance and Reconnaissance on Sensor Network (감시정찰 센서네트워크 환경에서 상황평가를 위한 지능형 에이전트 연구)

  • Baek, Seung-Ho;Jeon, Ki-Nam;Kim, Sang-Hun;Kim, Yong-Hyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.304-306
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    • 2011
  • 본 논문은 감시정찰 센서네트워크 환경에서 초소형 복합센서를 이용하여 적 또는 전장 환경에 대한 감시정찰 업무를 수행하는 무인 감시정찰 기술을 기반으로 한다. 감시 정찰 환경에서 센서를 통해 획득하는 환경 평가로서, 적군의 도보를 통한 침투 및 차량의 이동을 파악하고 경로를 도시하여 적군의 이동이나 작전 상황을 평가한다. 본 논문은 이러한 감시정찰 시나리오에 따른 상황을 추출하고, 해당 시나리오를 바탕으로 상황을 평가하기 위한 지능형 에이전트의 구조 및 설계 메커니즘을 제안하여 보다 효율적인 감시정찰 운용 및 수행을 위한 기반 기술로 활용한다.

Backstepping-Based Control of a Strapdown Boatboard Camera Stabilizer

  • Setoodeh, Peyman;Khayatian, Alireza;Farjah, Ebrahim
    • International Journal of Control, Automation, and Systems
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    • v.5 no.1
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    • pp.15-23
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    • 2007
  • In surveillance, monitoring, and target tracking operations, high-resolution images should be obtained even if the target is in a far distance. Frequent movements of vehicles such as boats degrade the image quality of onboard camera systems. Therefore, stabilizer mechanisms are required to stabilize the line of sight of boatboard camera systems against boat movements. This paper addresses design and implementation of a strapdown boatboard camera stabilizer. A two degree of freedom(DOF)(pan/tilt) robot performs the stabilization task. The main problem is divided into two subproblems dealing with attitude estimation and attitude control. It is assumed that exact estimate of the boat movement is available from an attitude estimation system. Estimates obtained in this way are carefully transformed to robot coordinate frame to provide desired trajectories, which should be tracked by the robot to compensate for the boat movements. Such a practical robotic system includes actuators with fast dynamics(electrical dynamics) and has more degrees of freedom than control inputs. Backstepping method is employed to deal with this problem by extending the control effectiveness.