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Synh Viet-Uyen Ha - IEEE Xplore Author Profile

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Author details

Synh Viet-Uyen Ha

Publications

17

Citations

134

Publications by Year

20102024

Co-Authors:

Truc Thi-Thanh ChauNhat Minh ChungTin Trung DuongTu Kha HuynhJae Wook Jeon

Show All Co-Authors (23)

Synh Viet-Uyen Ha

Affiliation

School of Computer Science and Engineering

International University

Ho Chi Minh City, Vietnam

Vietnam National University, Ho Chi Minh City, Vietnam

Publication Topics

Background Subtraction,
Bounding Box,
Domain Adaptation,
Training Set,
Vehicle Track,
Appearance Features,
Background Image,
Background Model,
Data Augmentation,
Distance Matrix,
Domain Gap,
Dynamic Background

Biography

Synh Viet-Uyen Ha (Senior Member, IEEE) received the B.Eng. degree in information technology from the Ho Chi Minh City University of Technology (HCMUT), Vietnam, in 1996, the M.Sc. degree in computer science from the Ho Chi Minh City University of Science (HCMUS), Vietnam, in 1999, and the Ph.D. degree in electrical and computer engineering from Sungkyunkwan University, South Korea, in 2010. After working as a Postdoctoral Scholar with the Automation Laboratory, Sungkyunkwan University, he joined Vietnam National University—Ho Chi Minh City International University (VNU-HCMIU) as a Lecturer, where he is currently the Head of the Computer Vision and Image Processing Laboratory. His research interests include signal processing, computer visio...

Publications

17

Citations

134

Publications by Year

20102024

Co-Authors:

Truc Thi-Thanh Chau
Nhat Minh Chung
Tin Trung Duong
Tu Kha Huynh
Jae Wook Jeon

Show All Co-Authors (23)

Author's Published Works

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Showing 1-17 of 17 results

Conferences (13)

Journals (4)

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Single Year
Synh Viet-Uyen Ha(17)
Nhat Minh Chung(8)
Long Hoang Pham(6)
Hung Ngoc Phan(5)
Quang Qui-Vinh Nguyen(4)
Vietnam National University, Ho Chi Minh City, Vietnam(6)
School of Computer Science and Engineering, International University, Ho Chi Minh City, Vietnam(5)
International University, Ho Chi Minh City, VN(2)
College of Information and Communication Engineering, Sungkyunkwan University, Suwon, South Korea(2)
School of Computer Science and Engineering, Vietnam National University, Ho Chi Minh City, Vietnam(2)
2017 International Conference on System Science and Engineering (ICSSE)(3)
2013 Third World Congress on Information and Communication Technologies (WICT 2013)(2)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
IEEE Transactions on Circuits and Systems for Video Technology(2)
2019 19th International Symposium on Communications and Information Technologies (ISCIT)(1)
IEEE(17)
Ho Chi Minh City, Vietnam(7)
Hanoi, Vietnam(2)
New Orleans, LA, USA(2)
Nashville, TN, USA(1)
Vancouver, BC, Canada(1)
Background Subtraction(6)
Neural Network(6)
Traffic System(6)
Vehicle Detection(6)
Vehicle Track(6)

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Results

BgSubNet: Robust Semisupervised Background Subtraction in Realistic Scenes

Nhat Minh Chung;Synh Viet-Uyen Ha

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 6 | Journal Article |

Cited by: Papers (1)

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Background subtraction (BgS) is a problem for handling pixel-level identification of changing or moving entities in the field of view of a static camera system. Recent works have discovered superior generalization to unseen realistic scenarios by an approach called deep BgS, which employs deep neural networks (DNNs) on concatenations of image inputs and their backgrounds. However, due to a lack of...Show More

BgSubNet: Robust Semisupervised Background Subtraction in Realistic Scenes

Nhat Minh Chung;Synh Viet-Uyen Ha

IEEE Sensors Journal

Year: 2024 | Volume: 24, Issue: 6 | Journal Article |

Multi-camera People Tracking With Mixture of Realistic and Synthetic Knowledge

Quang Qui-Vinh Nguyen;Huy Dinh-Anh Le;Truc Thi-Thanh Chau;Duc Trung Luu;Nhat Minh Chung;Synh Viet-Uyen Ha

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (11)

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This paper presents a solution for Track 1 of the AI City Challenge 2023, which involves Multi-Camera People Tracking in indoor scenarios. The proposed framework comprises four modules: Vehicle detection, ReID feature extraction, single-camera multi-target tracking (SCMT), single-camera matching, and multi-camera matching. A significant contribution of our approach is the introduction of ID switch...Show More

Multi-camera People Tracking With Mixture of Realistic and Synthetic Knowledge

Quang Qui-Vinh Nguyen;Huy Dinh-Anh Le;Truc Thi-Thanh Chau;Duc Trung Luu;Nhat Minh Chung;Synh Viet-Uyen Ha

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

DAKRS: Domain Adaptive Knowledge-Based Retrieval System for Natural Language-Based Vehicle Retrieval

Synh Viet-Uyen Ha;Huy Dinh-Anh Le;Quang Qui-Vinh Nguyen;Nhat Minh Chung

Year: 2023 | Volume: 11 | Journal Article |

Cited by: Papers (1)

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Given Natural Language (NL) text descriptions, NL-based vehicle retrieval aims to extract target vehicles from a multi-view multi-camera traffic video pool. Solutions to the problem have been challenged by not only inherent distinctions between textual and visual domains, but also by the complexities of the high-dimensionality of visual data, the diverse range of textual descriptions, a major lack...Show More

DAKRS: Domain Adaptive Knowledge-Based Retrieval System for Natural Language-Based Vehicle Retrieval

Synh Viet-Uyen Ha;Huy Dinh-Anh Le;Quang Qui-Vinh Nguyen;Nhat Minh Chung

Year: 2023 | Volume: 11 | Journal Article |

Post Processing Algorithm for Background Subtraction Model based on Entropy Approximation and Style Transfer Neural Network

Tin-Thai Trung;Synh Viet-Uyen Ha

2022 RIVF International Conference on Computing and Communication Technologies (RIVF)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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Background subtraction which aims to detect foreground masks is a fundamental task in surveillance systems. On-going research in background subtraction models has shown that background modelings are a highly robust technique to extract regions of interest, known as foregrounds. However, these background modeling techniques still failed to reproduce backgrounds correctly. Therefore, our research fo...Show More

Post Processing Algorithm for Background Subtraction Model based on Entropy Approximation and Style Transfer Neural Network

Tin-Thai Trung;Synh Viet-Uyen Ha

2022 RIVF International Conference on Computing and Communication Technologies (RIVF)

Year: 2022 | Conference Paper |

Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual Constraints

Nhat Minh Chung;Huy Dinh-Anh Le;Vuong Ai Nguyen;Quang Qui-Vinh Nguyen;Thong Duy-Minh Nguyen;Tin-Trung Thái;Synh Viet-Uyen Ha

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

Cited by: Papers (6)

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In this paper, we propose a system for Multi-Camera Multi-Target (MCMT) Vehicle Tracking in Track 1 of AI City Challenge 2022. There are many technical difficulties to the MCMT problem such as a common lack of labeled data in real scenarios, a distortion of vehicle detailed appearances in recording, and ambiguity between highly similar vehicles. Taking those into account, we develop a 3-component ...Show More

Multi-Camera Multi-Vehicle Tracking with Domain Generalization and Contextual Constraints

Nhat Minh Chung;Huy Dinh-Anh Le;Vuong Ai Nguyen;Quang Qui-Vinh Nguyen;Thong Duy-Minh Nguyen;Tin-Trung Thái;Synh Viet-Uyen Ha

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge

Huy Dinh-Anh Le;Quang Qui-Vinh Nguyen;Vuong Ai Nguyen;Thong Duy-Minh Nguyen;Nhat Minh Chung;Tin-Trung Thái;Synh Viet-Uyen Ha

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

Cited by: Papers (8)

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This paper introduces our solution for Track 2 in AI City Challenge 2022. The task is Tracked-Vehicle Retrieval by Natural Language Descriptions with a real-world dataset of various scenarios and cameras. We mainly focus on developing a robust natural language-based vehicle retrieval system to address the domain bias problem due to unseen scenarios and multi-view multi-camera vehicle tracks. Speci...Show More

Tracked-Vehicle Retrieval by Natural Language Descriptions With Domain Adaptive Knowledge

Huy Dinh-Anh Le;Quang Qui-Vinh Nguyen;Vuong Ai Nguyen;Thong Duy-Minh Nguyen;Nhat Minh Chung;Tin-Trung Thái;Synh Viet-Uyen Ha

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2022 | Conference Paper |

Tiny-PIRATE: A Tiny model with Parallelized Intelligence for Real-time Analysis as a Traffic countEr

Synh Viet-Uyen Ha;Nhat Minh Chung;Tien-Cuong Nguyen;Hung Ngoc Phan

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

Cited by: Papers (13)

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Due to the rapid growth in the number of vehicles over the last decade, there has been a dramatic increase in demand for highway capacity analysis. Vehicle counting, in particular, has become a key element of vision-based intelligent traffic systems deployed across metropolitan areas. Most methods solved the vehicle counting problem under the assumption of state-of-the-art computing systems. Howev...Show More

Tiny-PIRATE: A Tiny model with Parallelized Intelligence for Real-time Analysis as a Traffic countEr

Synh Viet-Uyen Ha;Nhat Minh Chung;Tien-Cuong Nguyen;Hung Ngoc Phan

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

A Robust Multiclass Vehicle Detection and Classification Algorithm for Traffic Surveillance System

Long Hoang Pham;Hung Ngoc Phan;Nhat Minh Chung;Tuan-Anh Vu;Synh Viet-Uyen Ha

2020 RIVF International Conference on Computing and Communication Technologies (RIVF)

Year: 2020 | Conference Paper |

Cited by: Papers (5)

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The main goal of traffic surveillance systems (TSSs) is to extract useful traffic information by analyzing signals from cameras. This paper presents a system for vehicle detection and classification from static pole-mounted roadside surveillance cameras on busy streets in the presence of different kinds of vehicles. There has been considerable research to accommodate this subject since the 90s; bu...Show More

A Robust Multiclass Vehicle Detection and Classification Algorithm for Traffic Surveillance System

Long Hoang Pham;Hung Ngoc Phan;Nhat Minh Chung;Tuan-Anh Vu;Synh Viet-Uyen Ha

2020 RIVF International Conference on Computing and Communication Technologies (RIVF)

Year: 2020 | Conference Paper |

A Real-time Vehicle Detection for Traffic Surveillance System Using a Neural Decision Tree

Hung Ngoc Phan;Long Hoang Pham;Tin Trung Thai;Nhat Minh Chung;Synh Viet-Uyen Ha

2019 25th Asia-Pacific Conference on Communications (APCC)

Year: 2019 | Conference Paper |

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Traffic surveillance system (TSS) is an essential tool to extract necessary information (count, type, speed, etc.) from cameras for traffic monitoring in many metro cities. In TSS, vehicle detection plays a pivotal role as it is a vital process for further analysis such as vehicle classification and vehicle tracking. So far there has been a considerable amount of research proposed with single-pipe...Show More

A Real-time Vehicle Detection for Traffic Surveillance System Using a Neural Decision Tree

Hung Ngoc Phan;Long Hoang Pham;Tin Trung Thai;Nhat Minh Chung;Synh Viet-Uyen Ha

2019 25th Asia-Pacific Conference on Communications (APCC)

Year: 2019 | Conference Paper |

An Improved Single Shot Detector for Face Detection Using Local Binary Patterns

Tin Trung Thai;Hung Ngoc Phan;Duc Tuan Nguyen;Synh Viet-Uyen Ha

2019 19th International Symposium on Communications and Information Technologies (ISCIT)

Year: 2019 | Conference Paper |

Cited by: Papers (4)

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Face detection plays an important role in indoor surveillance systems. Although there have been many improvements since the 90s, many problems are still unsolved due to the complexity of background, complex computation, long time execution, illumination changes, etc. This paper presents a method to detect faces in a surveillance system under real-world indoor condition. The proposed method combine...Show More

An Improved Single Shot Detector for Face Detection Using Local Binary Patterns

Tin Trung Thai;Hung Ngoc Phan;Duc Tuan Nguyen;Synh Viet-Uyen Ha

2019 19th International Symposium on Communications and Information Technologies (ISCIT)

Year: 2019 | Conference Paper |

Change Detection by Training a Triplet Network for Motion Feature Extraction

Tien Phuoc Nguyen;Cuong Cao Pham;Synh Viet-Uyen Ha;Jae Wook Jeon

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2019 | Volume: 29, Issue: 2 | Journal Article |

Cited by: Papers (40)

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Change/motion detection is a challenging problem in video analysis and surveillance system. Recently, the state-of-the-art methods using the sample-based background model have demonstrated astonishing results with this problem. However, they are ineffective in the dynamic scenes that contain complex motion patterns. In this paper, we introduce a novel data-driven approach that combines the sample-...Show More

Change Detection by Training a Triplet Network for Motion Feature Extraction

Tien Phuoc Nguyen;Cuong Cao Pham;Synh Viet-Uyen Ha;Jae Wook Jeon

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2019 | Volume: 29, Issue: 2 | Journal Article |

Scene recognition in traffic surveillance system using Neural Network and probabilistic model

Duong Nguyen-Ngoc Tran;Long Hoang Pham;Ha Manh Tran;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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In the traffic surveillance system (TSS), there are many factors affect the qualities of the result. Through practical application, it is difficult to determine which scene changing during the day period, from the daylight to nighttime, the conversion of the sunny and overcast, wet and dry scene. However, there have been no controlled studies which illustrate the method to distinguish environment ...Show More

Scene recognition in traffic surveillance system using Neural Network and probabilistic model

Duong Nguyen-Ngoc Tran;Long Hoang Pham;Ha Manh Tran;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Nighttime vehicle detection and classification via headlights trajectories matching

Tuan-Anh Vu;Long Hoang Pham;Tu Kha Huynh;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Cited by: Papers (8)

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Vehicle detection and classification is an essential application in traffic surveillance system (TSS). However, recognizing moving vehicle at nighttime is more challenging because of either poorly (lack of street lights) or brightly illuminations and chaos traffic of motorbikes. Adding to this is various type of vehicles travels on the same road which falsifies the pairing results. So, this resear...Show More

Nighttime vehicle detection and classification via headlights trajectories matching

Tuan-Anh Vu;Long Hoang Pham;Tu Kha Huynh;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Occlusion vehicle detection algorithm in crowded scene for Traffic Surveillance System

Hung Ngoc Phan;Long Hoang Pham;Duong Nguyen-Ngoc Tran;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Cited by: Papers (12)

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Traffic Surveillance System (TSS) plays an important role in extracting necessary information (count, type, speed, etc.). In the area of Traffic Surveillance System (TSS), vehicle detection has emerged as an influential field of study. So far there has been a considerable amount of research to accommodate this subject. However, these studies almost address problems in developed countries where the...Show More

Occlusion vehicle detection algorithm in crowded scene for Traffic Surveillance System

Hung Ngoc Phan;Long Hoang Pham;Duong Nguyen-Ngoc Tran;Synh Viet-Uyen Ha

2017 International Conference on System Science and Engineering (ICSSE)

Year: 2017 | Conference Paper |

Vision-based approach for urban vehicle detection & classification

Long Hoang Pham;Tin Trung Duong;Ha Manh Tran;Synh Viet-Uyen Ha

2013 Third World Congress on Information and Communication Technologies (WICT 2013)

Year: 2013 | Conference Paper |

Cited by: Papers (11)

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Vehicles detection and classification are the most popular subjects in the computer vision researching field, and also are the most important parts in any traffic monitoring or surveillance system. Although there has been a considerable amount of ideas to accommodate this problem since the 90s, many problems are still unresolved due to the complexity of traffic systems and the variety of vehicles....Show More

Vision-based approach for urban vehicle detection & classification

Long Hoang Pham;Tin Trung Duong;Ha Manh Tran;Synh Viet-Uyen Ha

2013 Third World Congress on Information and Communication Technologies (WICT 2013)

Year: 2013 | Conference Paper |

Improved optical flow estimation in traffic monitoring system

Huy-Hung Nguyen;Phuong-Tai Tran-Huu;Ha Manh Tran;Synh Viet-Uyen Ha

2013 Third World Congress on Information and Communication Technologies (WICT 2013)

Year: 2013 | Conference Paper |

Cited by: Papers (6)

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Optical flow is the pattern that represents the motion of objects, edges, surfaces in real world by using displacement vectors or color flow. Application of optical flow is used in variant problems, especially in traffic monitoring system. The result of optical flow estimation can be used for traffic control, anomaly events detection, vehicle tracking and classification. In this paper, an approach...Show More

Improved optical flow estimation in traffic monitoring system

Huy-Hung Nguyen;Phuong-Tai Tran-Huu;Ha Manh Tran;Synh Viet-Uyen Ha

2013 Third World Congress on Information and Communication Technologies (WICT 2013)

Year: 2013 | Conference Paper |

Readjusting Unstable Regions to Improve the Quality of High Accuracy Optical Flow

Synh Viet-Uyen Ha;Jae Wook Jeon

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2010 | Volume: 20, Issue: 4 | Journal Article |

Cited by: Papers (5)

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Optical flow is an important problem in computer vision since applications of accurate optical flow estimation enable us to control and manipulate tracking, 3-D reconstruction, motion blurring, and dirt removal. Many powerful methods have been proposed to solve the optical flow problem; however, instabilities at the boundaries of moving objects are still challenges. A difficult part of the optical...Show More

Readjusting Unstable Regions to Improve the Quality of High Accuracy Optical Flow

Synh Viet-Uyen Ha;Jae Wook Jeon

IEEE Transactions on Circuits and Systems for Video Technology

Year: 2010 | Volume: 20, Issue: 4 | Journal Article |

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