Pedestrian intention recognition using Latent-dynamic Conditional Random Fields.

Andreas T. Schulz Rainer Stiefelhagen

Published in: Intelligent Vehicles Symposium (2015)

Keyphrases

dynamic conditional random fields
probabilistic model
latent variables
conditional random fields
pedestrian detection
dynamic bayesian networks
object detection
generative model
higher order
pairwise
transfer learning
machine learning
decision trees
bayesian networks
high dimensional
hidden markov models