DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios.
Tobias BoltenRegina Pohle-FröhlichKlaus D. TönniesPublished in: CVPR Workshops (2021)
Keyphrases
- real world
- synthetic datasets
- abnormal situations
- monitoring system
- wide range
- synthetic data
- benchmark datasets
- real time
- artificial intelligence
- neural network
- event driven
- data sets
- case study
- database
- early warning
- data mining
- experimental study
- background subtraction
- scheduling algorithm
- video surveillance
- feature vectors
- feature space
- publish subscribe
- face recognition