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Journal of Intelligent Transportation Systems
Technology, Planning, and Operations
Volume 24, 2020 - Issue 3: Dense Surveillance Systems for Urban Traffic
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Original Articles

A deep learning approach for quality enhancement of surveillance video

Dandan DingSchool of Information Science & Engineering, Hangzhou Normal University, Hangzhou, ChinaCorrespondence[email protected]
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Junchao TongSchool of Information Science & Engineering, Hangzhou Normal University, Hangzhou, ChinaView further author information
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Lingyi KongSchool of Information Science & Engineering, Hangzhou Normal University, Hangzhou, ChinaView further author information
Pages 304-314 | Received 31 Oct 2018, Accepted 18 Sep 2019, Published online: 21 Oct 2019

Citations (13)

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Read on this site (3)

Xiaofeng Chen, Yu Chen & Guohui Zhang. (2021) A computer vision algorithm for locating and recognizing traffic signal control light status and countdown time. Journal of Intelligent Transportation Systems 25:5, pages 533-546.
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Gwanggil Jeon, Marco Anisetti & Yong Fang. (2020) Special issue on dense surveillance systems for urban traffic. Journal of Intelligent Transportation Systems 24:3, pages 217-220.
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Hua Cui, Gege Yuan, Ni Liu, Mingyuan Xu & Huansheng Song. (2020) Convolutional neural network for recognizing highway traffic congestion. Journal of Intelligent Transportation Systems 24:3, pages 279-289.
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Articles from other publishers (10)

G. Dhevanandhini & G. Yamuna. (2023) An optimal intelligent video surveillance system in object detection using hybrid deep learning techniques. Multimedia Tools and Applications.
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Bharti, Poonam Redhu & Kranti Kumar. (2023) Short-term traffic flow prediction based on optimized deep learning neural network: PSO-Bi-LSTM. Physica A: Statistical Mechanics and its Applications 625, pages 129001.
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Chishe Wang, Yuting Chen, Jie Wang & Jinjin Qian. (2023) An Improved CrowdDet Algorithm for Traffic Congestion Detection in Expressway Scenarios. Applied Sciences 13:12, pages 7174.
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Nafiseh Zarei, Payman Moallem & Mohammadreza Shams. (2022) Fast-Yolo-Rec: Incorporating Yolo-Base Detection and Recurrent-Base Prediction Networks for Fast Vehicle Detection in Consecutive Images. IEEE Access 10, pages 120592-120605.
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Ehsan Khosravi, Ali Mohammad Afshin Hemmatyar, Mahdi Jafari Siavoshani & Behzad Moshiri. (2022) Safe Deep Driving Behavior Detection (S3D). IEEE Access 10, pages 113827-113838.
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Ying Gao, Jinlong Li, Zhigang Xu, Zhangqi Liu, Xiangmo Zhao & Jianhua Chen. (2021) A novel image-based convolutional neural network approach for traffic congestion estimation. Expert Systems with Applications 180, pages 115037.
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Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P. Chapman, Deepak Ganesan, Jan Sjoquist & Tauhidur Rahman. (2021) OpiTrack. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5:3, pages 1-29.
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Ramin Arvin, Asad J. Khattak & Hairong Qi. (2021) Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods. Accident Analysis & Prevention 151, pages 105949.
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Trinh Man Hoang & Jinjia Zhou. (2021) Recent trending on learning based video compression: A survey. Cognitive Robotics 1, pages 145-158.
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N. Archana, G. Keerthivasan & B. Janakiraman. (2020) SAO Filter in HEVC: A survey. SAO Filter in HEVC: A survey.

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