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Multi-Stage Dynamic Batching and On-Demand I-Vector Clustering for Cost-effective Video Surveillance.
David Montero
Luis Unzueta
Jon Goenetxea
Nerea Aranjuelo
Estíbaliz Loyo
Oihana Otaegui
Marcos Nieto
Published in:
VISIGRAPP (5: VISAPP) (2021)
Keyphrases
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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