• Title/Summary/Keyword: Multiple-object tracking

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Automatic Detection of Dissimilar Regions through Multiple Feature Analysis (다중의 특징 분석을 통한 비 유사 영역의 자동적인 검출)

  • Jang, Seok-Woo;Jung, Myunghee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.2
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    • pp.160-166
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    • 2020
  • As mobile-based hardware technology develops, many kinds of applications are also being developed. In addition, there is an increasing demand to automatically check that the interface of these applications works correctly. In this paper, we describe a method for accurately detecting faulty images from applications by comparing major characteristics from input color images. For this purpose, our method first extracts major characteristics of the input image, then calculates the differences in the extracted major features, and decides if the test image is a normal image or a faulty image dissimilar to the reference image. Experiment results show that the suggested approach robustly determines similar and dissimilar images by comparing major characteristics from input color images. The suggested method is expected to be useful in many real application areas related to computer vision, like video indexing, object detection and tracking, image surveillance, and so on.

FPGA Design of Adaptive Digital Receiver for Wireless Identification (무선인식을 위한 적응적 디지털 수신기의 FPGA 설계)

  • Seo Young-Ho;Kim Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.4
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    • pp.745-752
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    • 2005
  • In this paper we propose and implement a digital part of a receiver system for identifying a moving object and its tracking position in wireless environment. We assumed UWB(Ultra Wide Band)-based communication system for target application and used serial communication method(RS-232). The proposed digital receiver consists of RS-232-type1/RS-232-type2 for input and output of serial communication, ID Detector for detecting IDs, and PISO&Buffer circuit to buffer input signals for appropriate operation of ID Detector. We implemented the digital receiver with minimal hardware(H/W) resource according to target application of UWB-based communication system. So it correlates input patterns with pre-stored patterns though repeated detecting method for multiple IDs. Since it has reference panerns in the Ve-stored form, it can detect various IDs instantly. Also we can program content and size of reference patterns considering compatibility with other systems .The implemented H/W was mapped into XC2S100PQ208-5 FPGA of Xilinx, occupied 727($30\%$) cells, and stably operated in the clock frequency of 75MHz(13.341ns).

A Real-time Face Recognition System using Fast Face Detection (빠른 얼굴 검출을 이용한 실시간 얼굴 인식 시스템)

  • Lee Ho-Geun;Jung Sung-Tae
    • Journal of KIISE:Software and Applications
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    • v.32 no.12
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    • pp.1247-1259
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    • 2005
  • This paper proposes a real-time face recognition system which detects multiple faces from low resolution video such as web-camera video. Face recognition system consists of the face detection step and the face classification step. At First, it finds face region candidates by using AdaBoost based object detection method which have fast speed and robust performance. It generates reduced feature vector for each face region candidate by using principle component analysis. At Second, Face classification used Principle Component Analysis and multi-SVM. Experimental result shows that the proposed method achieves real-time face detection and face recognition from low resolution video. Additionally, We implement the auto-tracking face recognition system using the Pan-Tilt Web-camera and radio On/Off digital door-lock system with face recognition system.

Usability Test on Haptic Interaction With Real Object in Virtual Reality (실제 사물을 이용한 VR 햅틱 인터랙션 사용성 테스트)

  • Yang, Han Ul;Park, Jun
    • Journal of the Korean Society for Computer Game
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    • v.31 no.4
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    • pp.197-203
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    • 2018
  • As people's interest in Virtual Reality has recently increased, peripherals have also made many progress. There is a lot of research being done from VR environment to VR configuration through scanning at room level with various interface devices that can interact with objects in the environment. According to current VR research Home VR uses multiple haptic interfaces to interact with objects configured in the VR environment, the method uses room scanning to some extent is beyond the spatial constraints and may use tracking equipment to interact with real objects. And advances in 3D printers have enabled the distribution of commercial 3D printers and home 3D printers, and made it easy for 3D printers to create models of their choice at home or at home. Considering the above two factors, We think it is necessary to study the difference between a model's object that people feel when interacting directly with an easy-to-create model in a VR environment. Therefore, in this paper, we are going to implement objects produced by 3D printers in VR space and study the differences between using real objects and other general interaction equipment through user testing with those that are actually implemented.