Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance.
Justin SanchezChristopher NeffHamed TabkhiPublished in: CoRR (2022)
Keyphrases
- action recognition
- video surveillance
- random walk
- computer vision
- human detection
- surveillance system
- moving objects
- motion detection
- activity recognition
- human actions
- bag of words
- multiple cameras
- background subtraction
- object tracking
- markov chain
- image processing
- event detection
- body parts
- static images
- spatio temporal
- foreground objects
- human activities
- bag of features
- shadow detection
- video dataset
- data mining
- recognizing human actions
- pose estimation
- signal processing
- object detection
- reinforcement learning
- image sequences
- machine learning