Using spatiotemporal blocks to reduce the uncertainty in detecting and tracking moving objects in video.
Longin Jan LateckiVasileios MegalooikonomouRoland MieziankoDragoljub PokrajacPublished in: Int. J. Intell. Syst. Technol. Appl. (2006)
Keyphrases
- moving objects
- video surveillance
- video sequences
- object motion
- moving camera
- stationary camera
- object tracking
- video scene
- motion segmentation
- dynamic background
- dynamic scenes
- spatio temporal
- background subtraction
- continuously moving
- object detection and tracking
- space time
- moving platform
- surveillance videos
- video images
- moving object detection
- person detection
- spatial and temporal
- face detection and tracking
- dense optical flow
- image sequences
- consecutive frames
- road network
- multiple moving objects
- motion detection
- moving target
- tracking objects
- moving vehicles
- optical flow
- object segmentation and tracking
- real time
- camera motion
- video data
- detecting and tracking multiple
- visual tracking
- video frames
- foreground objects
- particle filter
- detection algorithm
- video dataset
- motion patterns
- spatiotemporal databases
- motion field
- image quality
- video analysis
- object location
- human actions
- event detection
- video streams
- articulated human motion
- point trajectories
- multiple cameras
- background modeling
- feature tracking
- video clips
- kalman filter
- motion model
- motion estimation
- multimedia
- computer vision