Yulin, Chen (2022) Pedestrian detection algorithm based on Faster RCNN. In: Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China.
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Abstract
Pedestrians are the most frequent targets in video surveillance and vehicle camera shooting, and the safety of pedestrians is the most concerned issue of social and public safety. In order to avoid accidents and traffic accidents caused by dense personnel, real-time detection of pedestrians on the s
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:18 |
| Last Modified: | 17 Apr 2026 06:16 |
| URI: | http://eprints.eai.eu/id/eprint/38688 |
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