• Title/Summary/Keyword: Multi-Vision

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A light-weight Gender/Age Estimation model based on Multi-taking Deep Learning for an Embedded System (임베디드 시스템을 위한 멀티태스킹 딥러닝 학습 기반 경량화 성별/연령별 추정)

  • Bao, Huy-Tran Quoc;Chung, Sun-Tae
    • Annual Conference of KIPS
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    • 2020.05a
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    • pp.483-486
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    • 2020
  • Age estimation and gender classification for human is a classic problem in computer vision. Almost research focus just only one task and the models are too heavy to run on low-cost system. In our research, we aim to apply multitasking learning to perform both task on a lightweight model which can achieve good precision on embedded system in the real time.

Multi-sensor Fusion based Autonomous Return of SUGV (다중센서 융합기반 소형로봇 자율복귀에 대한 연구)

  • Choi, Ji-Hoon;Kang, Sin-Cheon;Kim, Jun;Shim, Sung-Dae;Jee, Tae-Yong;Song, Jae-Bok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.3
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    • pp.250-256
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    • 2012
  • Unmanned ground vehicles may be operated by remote control unit through the wireless communication or autonomously. However, the autonomous technology is still challenging and not perfectly developed. For some reason or other, the wireless communication is not always available. If wireless communication is abruptly disconnected, the UGV will be nothing but a lump of junk. What was worse, the UGV can be captured by enemy. This paper suggests a method, autonomous return technology with which the UGV can autonomously go back to a safer position along the reverse path. The suggested autonomous return technology for UGV is based on multi-correlated information based DB creation and matching. While SUGV moves by remote-control, the multi-correlated information based DB is created with the multi-sensor information; the absolute position of the trajectory is stored in DB if GPS is available and the hybrid MAP based on the fusion of VISION and LADAR is stored with the corresponding relative position if GPS is unavailable. In multi-correlated information based autonomous return, SUGV returns autonomously based on DB; SUGV returns along the trajectory based on GPS-based absolute position if GPS is available. Otherwise, the current position of SUGV is first estimated by the relative position using multi-sensor fusion followed by the matching between the query and DB. Then, the return path is created in MAP and SUGV returns automatically based on the MAP. Experimental results on the pre-built trajectory show the possibility of the successful autonomous return.

Multi-loop PID Control Method of Brushless DC Motors via Convex Combination Method

  • Kim, Chang-Hyun
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.72-77
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    • 2017
  • This paper proposes the explicit tuning rule of multi-loop PID controller for brushless direct current motors to predict the system behaviors in time and frequency domains, using properties of the convex combination method. The convex set of the proposed controllers formulates the envelope to satisfy the performances in time and frequency domains. The final control parameters are determined by solving the convex optimization problem subject to the constraints which are represented as convex set of time domain performances. The effectiveness of the proposed control method is shown in the numerical simulation, in which controller tuning algorithm and dynamics of brushless DC motor are well taken into account.

Fast foreground extraction with local Integral Histogram (지역 인테그럴 히스토그램을 사용한 빠르고 강건한 전경 추출 방법)

  • Jang, Dong-Heon;Jin, Xiang-Hua;Kim, Tae-Yong
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.623-628
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    • 2008
  • We present a new method of extracting foreground object from background image for vision-based game interface. Background Subtraction is an important preprocessing step for extracting the features of tracking objects. The image is divided into the cells where the Local Histogram with Gaussian kernel is computed and compared with the corresponding one using Bhattacharyya distance measure. The histogram-based method is partially robust against illumination change, noise and small moving objects in background. We propose a Multi-Scaled Integral Histogram approach for noise suppression and fast computation.

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A Study on Best Generation Mix - Vision 2030 (적정 전원 구성에 관한 연구 - 비전 2030)

  • Jeong, Sang-Heon;Park, Jeong-Je;Shi, Bo;Wu, Liang;Choi, Jae-Seok;Kim, Ji-Nu;Lee, Yu-Su
    • Proceedings of the KIEE Conference
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    • 2007.11b
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    • pp.176-179
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    • 2007
  • This paper proposes a fuzzy linear programming based solution approach fur the long-term generation mix with multi-stages (years) considering air pollution constraints on $CO_2$ emissions, under uncertain circumstances as like as ambiguities of budget and reliability criterion level. This paper approaches to generation mix problem for 2030 year in Korea eventually. The proposed approach may give more flexible solution rather than too robust plan. The effectiveness of the proposed approach is demonstrated by applying it to solve the multi-years best generation mix problem on the Korea power system which contains nuclear, coal, LNG, oil and pumped-storage hydro plants.

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Pedestrian Detection using HOG Feature and Multi-Frame Operation (HOG 특징과 다중 프레임 연산을 이용한 보행자 탐지)

  • Seo, Chang-jin;Ji, Hong-il
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.64 no.3
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    • pp.193-198
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    • 2015
  • A large number of vision applications rely on matching keypoints across images. Pedestrian detection is under constant pressure to increase both its quality and speed. Such progress allows for new application. A higher speed enables its inclusion into large systems with extensive subsequent processing, and its deployment in computationally constrained scenarios. In this paper, we focus on improving the speed of pedestrian detection using HOG(histogram of oriented gradient) and multi frame operation which is robust to illumination changes in cluttering images. The result of our simulation indicates that the detection rate and speed of the proposed method is much faster than that of conventional HOG and differential images.

Socio-technical Systems Approach and Innovation Policy (사회.기술시스템론과 과학기술혁신정책)

  • Song, Wichin
    • Journal of Korea Technology Innovation Society
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    • v.16 no.1
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    • pp.156-175
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    • 2013
  • This study examines the approach of socio-technical systems and strategic niche management. It reviews the characteristics of that approach such as multi-level perspectives, the views on technology, and policy orientation. It applies the approach to the long-term vision making in science and technological innovation, socio-technical planning, participatory R&D, and science communication in Innovation policy areas and suggests some policy implications.

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Fast Random-Forest-Based Human Pose Estimation Using a Multi-scale and Cascade Approach

  • Chang, Ju Yong;Nam, Seung Woo
    • ETRI Journal
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    • v.35 no.6
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    • pp.949-959
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    • 2013
  • Since the recent launch of Microsoft Xbox Kinect, research on 3D human pose estimation has attracted a lot of attention in the computer vision community. Kinect shows impressive estimation accuracy and real-time performance on massive graphics processing unit hardware. In this paper, we focus on further reducing the computation complexity of the existing state-of-the-art method to make the real-time 3D human pose estimation functionality applicable to devices with lower computing power. As a result, we propose two simple approaches to speed up the random-forest-based human pose estimation method. In the original algorithm, the random forest classifier is applied to all pixels of the segmented human depth image. We first use a multi-scale approach to reduce the number of such calculations. Second, the complexity of the random forest classification itself is decreased by the proposed cascade approach. Experiment results for real data show that our method is effective and works in real time (30 fps) without any parallelization efforts.

Research of soccer robot system strategies

  • Sugisaka, Masanori;Kiyomatsu, Toshiro;Hara, Masayoshi
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.92.4-92
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    • 2002
  • In this paper, as an ideal test bed for studies on multi-agent system, the multiple micro robot soccer playing system is introduced at first. The construction of such experimental system has involved lots of kinds of challenges such as sensors fusing, robot designing, vision processing, motion controlling, and especially the cooperation planning of those robots. So in this paper we want to stress emphasis on how to evolve the system automatically based on the model of behavior-based learning in multi-agent domain. At first we present such model in common sense and then apply it to the realistic experimental system . At last we will give some results showing that the proposed approach is feasi...

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Design of Screening Inspection in a Multi-Stage Manufacturing Systems (다공정 제조시스템에서의 전수검사에 관한 연구)

  • 박영현;이창호
    • Journal of Korean Society for Quality Management
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    • v.25 no.1
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    • pp.1-16
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    • 1997
  • In this paper, we illustrate how to design screening inspections for minimizing a total quality costs in a multi-stage manufacturing systems. The total quality cost model consists of inspection costs, internal failure costs, external failure costs, and Taguchi's loss function. Although, the use of automatic test equipment such as machnie vision and CMM has greatly increased inspection speed and accuracy, screeing(100% inspection) could be considered only as a short-term method to remove nonconforming items from a population, not for a long-term quality improvement. However, screeing should be used for certain situations such as before costly operations and after unsatisfied operations. This paper ends with an example that demonstrates the usefulness of the model.