Real-Time Recognition and Tracing of Moving Objects in Video Images using Background Subtraction, Kalman Filter and Particle Filter.
Adobah Benjamin KwameGuohai LiuHui LiuFida HussainPublished in: ICAC (2019)
Keyphrases
- kalman filter
- background subtraction
- moving objects
- particle filter
- object tracking
- appearance model
- real time
- video surveillance
- visual tracking
- state estimation
- partial occlusion
- image sequences
- particle filtering
- motion detection
- dynamic scenes
- video sequences
- background model
- rao blackwellized particle filter
- foreground objects
- background modeling
- moving object detection
- spatio temporal
- motion model
- motion segmentation
- object recognition
- mean shift
- object detection
- moving camera
- robust tracking
- motion parameters
- moving target
- video camera
- state space
- moving object tracking
- simultaneous localization and mapping
- human activities
- gaussian mixture model
- feature extraction
- motion field
- motion analysis
- image classification
- motion estimation
- feature vectors
- image processing
- computer vision