Search Results - "Moongu Jeon"

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection by Ko, Yeongmin, Lee, Younkwan, Azam, Shoaib, Munir, Farzeen, Jeon, Moongu, Pedrycz, Witold

“…Perception techniques for autonomous driving should be adaptive to various environments. In essential perception modules for traffic line detection, many…”
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Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework by Yu, Jongmin, Park, Sangwoo, Lee, Sangwook, Jeon, Moongu

“…We propose a condition-adaptive representation learning framework for driver drowsiness detection based on a 3D-deep convolutional neural network. The proposed…”
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Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition by Yoon, Yongsang, Yu, Jongmin, Jeon, Moongu

“…In skeleton-based action recognition, graph convolutional networks (GCNs), which model human body skeletons using graphical components such as nodes and…”
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Neuromorphic Hardware System for Visual Pattern Recognition With Memristor Array and CMOS Neuron by Chu, Myonglae, Kim, Byoungho, Park, Sangsu, Hwang, Hyunsang, Jeon, Moongu, Lee, Byoung Hun, Lee, Byung-Geun

“…This paper presents a neuromorphic system for visual pattern recognition realized in hardware. A new learning rule based on modified spike-timing-dependent…”
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Pixel-Guided Association for Multi-Object Tracking by Boragule, Abhijeet, Jang, Hyunsung, Ha, Namkoo, Jeon, Moongu

“…Propagation and association tasks in Multi-Object Tracking (MOT) play a pivotal role in accurately linking the trajectories of moving objects. Recently, modern…”
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Data Association for Multi-Object Tracking via Deep Neural Networks by Yoon, Kwangjin, Kim, Du Yong, Yoon, Young-Chul, Jeon, Moongu

“…With recent advances in object detection, the tracking-by-detection method has become mainstream for multi-object tracking in computer vision. The…”
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Atrial fibrillation detection by heart rate variability in Poincare plot by Park, Jinho, Lee, Sangwook, Jeon, Moongu

“…Atrial fibrillation (AFib) is one of the prominent causes of stroke, and its risk increases with age. We need to detect AFib correctly as early as possible to…”
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LDNet: End-to-End Lane Marking Detection Approach Using a Dynamic Vision Sensor by Munir, Farzeen, Azam, Shoaib, Jeon, Moongu, Lee, Byung-Geun, Pedrycz, Witold

“…Modern vehicles are equipped with various driver-assistance systems, including automatic lane keeping, which prevents unintended lane departures. Traditional…”
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Neuromorphic Character Recognition System With Two PCMO Memristors as a Synapse by Sheri, Ahmad Muqeem, Hyunsang Hwang, Moongu Jeon, Byung-geun Lee

“…Using memristor devices as synaptic connections has been suggested with different neural architectures in the literature. Most of the published works focus on…”
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System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment by Azam, Shoaib, Munir, Farzeen, Sheri, Ahmad Muqeem, Kim, Joonmo, Jeon, Moongu

“…In recent years, technological advancements have made a promising impact on the development of autonomous vehicles. The evolution of electric vehicles,…”
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Adaptive Sliding-Window Strategy for Vehicle Detection in Highway Environments by Noh, SeungJong, Shim, Daeyoung, Jeon, Moongu

“…In highway traffic monitoring systems, vehicle detection is one of the most important tasks. To automatically detect vehicles in general CCTV environments, we…”
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Mobile Node Localization Using Fusion Prediction-Based Interacting Multiple Model in Cricket Sensor Network by Haryong Song, Shin, V., Moongu Jeon

“…This paper addresses an approach to estimating the location of a mobile node based on the range measurements of Cricket sensor network (CSN), where the…”
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Artificial Proprioceptive Reflex Warning using EMG in Advanced Driving Assistance System by Hussain, Muhammad Ishfaq, Rafique, Muhammad Aasim, Kim, Joonmo, Jeon, Moongu, Pedrycz, Witold

“…A frequent cause of auto accidents is disregarding the proximal traffic of an ego-vehicle during lane changing. Presumably, in a split-second-decision…”
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Anomalous Event Recognition in Videos Based on Joint Learning of Motion and Appearance with Multiple Ranking Measures by Dubey, Shikha, Boragule, Abhijeet, Gwak, Jeonghwan, Jeon, Moongu

“…Given the scarcity of annotated datasets, learning the context-dependency of anomalous events as well as mitigating false alarms represent challenges in the…”
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Using Temporal Covariance of Motion and Geometric Features via Boosting for Human Fall Detection by Ali, Syed Farooq, Khan, Reamsha, Mahmood, Arif, Hassan, Malik Tahir, Jeon, And Moongu

“…Fall induced damages are serious incidences for aged as well as young persons. A real-time automatic and accurate fall detection system can play a vital role…”
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Employing automatic content recognition for teaching methodology analysis in classroom videos by Rafique, Muhammad Aasim, Khaskheli, Faheem, Hassan, Malik Tahir, Naseer, Sheraz, Jeon, Moongu

“…A teacher plays a pivotal role in grooming a society and paves way for its social and economic developments. Teaching is a dynamic role and demands continuous…”
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A Long Short-Term Memory (LSTM) Network for Hourly Estimation of PM2.5 Concentration in Two Cities of South Korea by Qadeer, Khaula, Rehman, Wajih Ur, Sheri, Ahmad Muqeem, Park, Inyoung, Kim, Hong Kook, Jeon, Moongu

“…Air pollution not only damages the environment but also leads to various illnesses such as respiratory tract and cardiovascular diseases. Nowadays, estimating…”
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ADFNet: accumulated decoder features for real‐time semantic segmentation by Hyunguk Choi, Hoyeon Ahn, Joonmo Kim, Moongu Jeon

“…Semantic segmentation is one of the important technologies in autonomous driving, and ensuring its real‐time and high performance is of utmost importance for…”
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Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning by Yang, Ehwa, Gwak, Jeonghwan, Jeon, Moongu

“…Due to the reasonably acceptable performance of state-of-the-art object detectors, tracking-by-detection is a standard strategy for visual multi-object…”
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Unsupervised Learning for Depth, Ego-Motion, and Optical Flow Estimation Using Coupled Consistency Conditions by Mun, Ji-Hun, Jeon, Moongu, Lee, Byung-Geun

“…Herein, we propose an unsupervised learning architecture under coupled consistency conditions to estimate the depth, ego-motion, and optical flow. Previously…”
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