Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance.
Xiaobai LiuDonovan LoChau ThuanPublished in: IJCAI (2018)
Keyphrases
- video surveillance
- object tracking
- unsupervised learning
- jump diffusion process
- motion detection
- surveillance system
- moving objects
- mean shift
- video surveillance systems
- multiple cameras
- appearance model
- image sequences
- video sequences
- particle filter
- computer vision
- supervised learning
- illumination variations
- data association
- sparse representation
- visual surveillance
- surveillance videos
- traffic monitoring
- dimensionality reduction
- visual tracking
- mixture model
- semi supervised
- partial occlusion
- multi camera
- expectation maximization
- machine learning
- object recognition
- background modeling
- surveillance cameras
- shadow detection
- data sets
- foreground objects
- feature selection
- model selection
- motion model
- data analysis
- reinforcement learning