UPDF AI

Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers

Ardhendu Behera,Alexander Keidel,Bappaditya Debnath

2018 · DOI: 10.1007/978-3-030-12939-2_21
German Conference on Pattern Recognition · 34 Citations

TLDR

A novel Multi-stream Long Short-Term Memory (M-LSTM) network for recognizing driver activities is presented, which is built to be semantically rich and meaningful, and even when coupled with appearance features it is turned out to be highly discriminating.