Integrated Pedestrian and Direction Classification Using a Random Decision Forest
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/6751566/6755862/06755903.pdf?arnumber=6755903
Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Kinesiology-inspired estimation of pedestrian walk direction for smart surveillance;Future Generation Computer Systems;2020-07
2. Coarse-to-Fine Deep Learning of Continuous Pedestrian Orientation Based on Spatial Co-Occurrence Feature;IEEE Transactions on Intelligent Transportation Systems;2020-06
3. Prediction of Structural Type for City-Scale Seismic Damage Simulation Based on Machine Learning;Applied Sciences;2020-03-05
4. A Fuzzy Approach to Spatio-temporal Analysis for Pedestrian Surveillance;Intelligent Computing and Communication;2020
5. Internet of Things and data analytics: A current review;WIREs Data Mining and Knowledge Discovery;2019-11-06
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