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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 (7)
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
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)
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
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 |
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
Face Detection Method in Surveillance Systems Using Haar Feature and Deep Neural Network
2019 6th NAFOSTED Conference on Information and Computer Science (NICS)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
Face detection is one of the most widespread applications in the modern world society. Tremendous strides have been made to improve the performance of face detection, however, accuracy and efficiency of face localization in the wild remains an open challenge. This paper presents an efficient method for face detection in a surveillance system. The proposed method combines traditional computer visio...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 |
Cited by: Papers (4)
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
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