Applying Deep Learning to Detect Traffic Accidents in Real Time Using Spatiotemporal Sequential Data.
Amir Bahador ParsaRishabh Singh ChauhanHoma TaghipourSybil DerribleAbolfazl MohammadianPublished in: CoRR (2019)
Keyphrases
- deep learning
- sequential data
- real time
- traffic accidents
- hidden markov models
- spatio temporal
- fixed length
- machine learning
- unsupervised learning
- sequential patterns
- pattern discovery
- sequential pattern mining
- weakly supervised
- pattern mining
- active learning
- traffic flow
- sequence data
- countermeasures
- natural language processing
- multi dimensional
- moving objects
- training set
- data analysis
- feature selection