Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance.
David MonteroLuis UnzuetaJon GoenetxeaNerea AranjueloEstíbaliz LoyoOihana OtaeguiMarcos NietoPublished in: VISIGRAPP (5: VISAPP) (2021)
Keyphrases
- cost effective
- multistage
- video surveillance
- surveillance system
- background subtraction
- moving objects
- low cost
- motion detection
- dynamic programming
- computer vision
- production system
- single stage
- moving object detection
- stochastic programming
- object tracking
- cost effectiveness
- clustering algorithm
- smoke detection
- event detection
- lot sizing
- surveillance videos
- traffic monitoring
- optimal policy
- k means
- unsupervised learning
- pedestrian tracking
- scheduling problem
- cloud computing
- data points
- detection of moving objects
- data mining