Fast and accurate pedestrian detection using dual-stage group cost-sensitive RealBoost with vector form filters
Despite significant research efforts in pedestrian detection over the past decade, there is still a ten-fold performance gap between the state-of-the-art methods and human perception. Deep learning methods can provide good performance but suffers from high computational complexity which prohibits th...
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Main Authors: | Zhou, Chengju, Wu, Meiqing, Lam, Siew-Kei |
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Other Authors: | School of Computer Science and Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/148833 |
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Institution: | Nanyang Technological University |
Language: | English |
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