A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier

Research output: Contribution to journal › Article › peer-review

39 Citations (Scopus)

Original language	English
Journal	Pattern Recognition Letters
Publication status	Published - 2017

Cite this

@article{c212cb23c97c457ca0803ae1e449dafb,

title = "A human activity recognition framework using max-min features and key poses with differential evolution random forests classifier",

author = "\{Resende Faria\}, Diego",

year = "2017",

language = "English",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier",

}