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检索条件"机构=Intelligent Systems and Image Processing Laboratory"
210 条 记 录,以下是11-20 订阅
排序:
Smoke detection based on fire-starting regions
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IEIE Transactions on Smart processing and Computing 2019年 第6期8卷 475-481页
作者: Lee, Jaemin Park, Seokmok Son, Changeui Paik, Joonki Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul06974 Korea Republic of
Smoke detection is very important for fire detection, because smoke usually occurs before a fire breaks out. Smoke has a variety of characteristics, such as color, shape, texture, and so on. Using these characteristic... 详细信息
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A fully digital auto-focusing system using a priori point spread function dataset
A fully digital auto-focusing system using a priori point sp...
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2010 International Conference on Consumer Electronics, ICCE 2010
作者: Park, Younguk Jeon, Jaehwan Lee, Jinhee Paik, Joonki Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul Korea Republic of
This paper presents a fully digital auto-focusing (FDAF) system using a priori obtained point spread function (PSF) dataset. The proposed FDAF algorithm aims at low-cost, affordable consumer's imaging electronics ... 详细信息
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Edge based adaptive Kalman filtering for real-time video stabilization
Edge based adaptive Kalman filtering for real-time video sta...
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International Conference on Consumer Electronics, ICCE '06
作者: Kwon, Ohyun Shin, Jeongho Paik, Joonki Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung-Ang University Seoul Korea Republic of
image stabilization, particularly during zoom-in is an important feature in consumer cameras. Existing methods to stabilize an image often make an incorrect motion vector by an improper choice of motion estimation or ... 详细信息
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Weighted image defogging method using statistical RGB channel feature extraction
Weighted image defogging method using statistical RGB channe...
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2010 International SoC Design Conference, ISOCC 2010
作者: Yoon, Inhye Jeon, Jaehwan Lee, Jinhee Paik, Joonki Department of Image Processing Intelligent Systems Laboratory Chung-Ang University Seoul Korea Republic of
In this paper, we present a weighted adaptive image defogging method by extracting features in the RGB color channels. We adaptively detect an atmospheric light through undesired fog in the dark channel prior obtained... 详细信息
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Improved deeplab v3+ with metadata extraction for small object detection in intelligent visual surveillance systems
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IEIE Transactions on Smart processing and Computing 2021年 第3期10卷 209-218页
作者: Oh, Heungmin Lee, Minjung Kim, Hyungtae Paik, Joonki Department of Image Engineering Processing and Intelligent Systems Laboratory Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University / Seoul06974 Korea Republic of
A surveillance system deploys multiple cameras to monitor a wide area in real time to detect abnormal situations such as a crime scene, traffic accident, and natural disaster. An Increased number of cameras results in... 详细信息
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Variational low-light image enhancement based on a haze model
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IEIE Transactions on Smart processing and Computing 2018年 第4期7卷 325-331页
作者: Shin, Joongchol Park, Hasil Park, Jinho Ha, Jinsol Paik, Joonki Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University / Seoul Korea Republic of Department of Integrative Engineering Chung-Ang University Seoul Korea Republic of
Under low-illumination conditions, an acquired image is degraded by a limited dynamic range and noise in signal amplification. To solve this problem, we propose a haze model-based variational low-light image-enhanceme... 详细信息
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Robust kernelized correlation filter using adaptive feature weight
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IEIE Transactions on Smart processing and Computing 2018年 第6期7卷 433-439页
作者: Kim, Yeongbin Park, Hasil Paik, Joonki Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea Republic of Department of Integrative Engineering Chung-Ang University Seoul Korea Republic of
In this paper, we propose a robust tracking method for fast motion and background noise via improved kernelized correlation filters (KCFs). The proposed tracking algorithm consists of four steps: i) generate a Gaussia... 详细信息
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Imaging inverse problem using sparse representation with adaptive dictionary learning  5
Imaging inverse problem using sparse representation with ada...
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2015 5th IEEE International Advance Computing Conference, IACC 2015
作者: Mittu George, P. Vivek, M. Paik, Joonki Oxford College of Engineering Bangalore India Image Processing and Intelligent Systems Laboratory Chung-Ang University Seoul Korea Republic of
Sparse representation is one of the powerful emerging statistical techniques for modeling images. This representation approximates the image as a combination of the codewords within a dictionary which is over complete... 详细信息
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An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse
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Journal of intelligent Manufacturing 2016年 第2期27卷 389-408页
作者: Chen, Fangyu Wang, Hongwei Xie, Yong Qi, Chao Key Laboratory of Image Processing and Intelligent Control of Education Ministry Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China
One of the challenging problems in order picking is how to deal with the congestion happens in warehouse with multiple pickers. In this paper, we consider an ant colony optimization (ACO)-based online routing method t... 详细信息
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Optimization of H.264 encoder using adaptive mode decision and SIMD instructions
Optimization of H.264 encoder using adaptive mode decision a...
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2005 Digest of Technical Papers - International Conference on Consumer Electronics, ICCE 2005
作者: Kim, Yong-Hwan Yoo, Jin-Woo Lee, Seong-Won Paik, Joonki Choi, Byeongho Image Processing and Intelligent Systems Laboratory Department of Image Engineering Chung-Ang University Seoul Korea Republic of Digital Media Research Center Korea Electronics Technology Institute
This paper presents algorithms that optimize the baseline H.264 encoder without loss of image quality and compression ratio. We propose an adaptive mode decision algorithm to speedup complex mode decision with rate di... 详细信息
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