Rapid and robust background modeling technique for low-cost road traffic surveillance systems
Fast and accurate detection of vehicles on road traffic scenes captured by traffic surveillance cameras, is essential for large-scale deployment of automated traffic surveillance systems. The state-of-the-art techniques typically employ background modeling for low-complexity foreground detection. Ho...
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Main Authors: | , , , |
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格式: | Article |
語言: | English |
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2021
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在線閱讀: | https://hdl.handle.net/10356/147723 |
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機構: | Nanyang Technological University |
語言: | English |