Low-Cost IoT Surveillance System Using Hardware-Acceleration and Convolutional Neural Networks.
Epaminondas S. LageRodolfo L. SantosSandro M. T. JuniorFernando AndreottiPublished in: WF-IoT (2019)
Keyphrases
- surveillance system
- low cost
- convolutional neural networks
- video surveillance
- convolutional network
- hardware and software
- low power
- background subtraction
- real time
- target detection and tracking
- human detection
- management system
- smart home environment
- single chip
- detection and tracking of moving objects
- embedded systems
- outdoor environments
- omni directional
- multi camera
- cloud computing
- coarse to fine
- object recognition
- three dimensional
- image segmentation