RECfusion: Automatic Scene Clustering and Tracking in Videos from Multiple Sources.
Filippo L. M. MilottaSebastiano BattiatoFilippo StancoValeria D'AmicoGiovanni TorrisiLuca AddessoPublished in: MOBMU (2016)
Keyphrases
- multiple sources
- video sequences
- moving camera
- video scene
- input video
- video images
- traffic scenes
- dynamic scenes
- camera tracking
- surveillance videos
- d scene
- clustering algorithm
- object tracking
- space time
- multiple objects
- k means
- dynamic background
- video surveillance
- multi source
- video frames
- data sources
- static camera
- video data
- motion segmentation
- image sequences
- video dataset
- moving objects
- video analysis
- camera motion
- single image
- video clips
- crowded scenes
- human activities
- stationary camera
- particle filter
- motion estimation
- optical flow
- three dimensional
- object motion
- multiple information sources
- tracking multiple objects
- neighboring frames
- databases
- moving vehicles
- motion features
- ground plane
- video content
- background subtraction
- human body
- web pages