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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/148833 |