Multi-vehicle detection algorithm through combining Harr and HOG features

DOI10.1016/j.matcom.2017.12.011OpenAlexW2792235784MaRDI QIDQ1997291

Wei Huang, Yun Wei, Qing Tian, Jian-hua Guo, Cao, Jinde

Publication date: 2 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2017.12.011

zbMATH Keywords

computer visionvehicle detectionenvironment perceptionHarr featuresHOG features

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

Time-delay Hammerstein system identification using modified cross-correlation method and variable stacking length multi-error algorithm

Uses Software

• AdaBoost.MH

Cites Work

• Front-view vehicle detection by Markov chain Monte Carlo method
• A decision-theoretic generalization of on-line learning and an application to boosting
• Enumeration of spanning trees on contact graphs of disk packings
• Enumeration of spanning trees in planar unclustered networks
• Boosting a weak learning algorithm by majority
• 10.1162/15324430260185646

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