Accurate traffic flow estimation for highway surveillance systems with scenes tampered by raindrops

Hsu Yung Cheng, Chih Chang Yu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

A traffic flow estimation mechanism is proposed for highway surveillance systems with scenes tampered by raindrops. To detect rain-drop tampered scenes, features are extracted via salient region detection and block segmentation. Feature selection is performed to select more discriminative features. For traffic flow estimation, daytime and night time models are performed separately to adapt to the characteristics of the surveillance scenes. Finally, an effective graph-based mapping method is designed to map the vehicle count sequences to per minute traffic flow. The system is tested with a highly challenging dataset. The accuracy of the traffic flow analysis is satisfying with low mean absolute errors even when the cameras are seriously tampered by rain.

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主出版物標題2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728109909
DOIs
出版狀態已出版 - 9月 2019
事件16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019 - Taipei, Taiwan
持續時間: 18 9月 201921 9月 2019

出版系列

名字2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019

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???event.eventtypes.event.conference???16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019
國家/地區Taiwan
城市Taipei
期間18/09/1921/09/19

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