GM-PHD filter for multiple extended object tracking based on the multiplicative error shape model and network flow labeling.
Florian TeichShishan YangMarcus BaumPublished in: Intelligent Vehicles Symposium (2017)
Keyphrases
- object tracking
- shape model
- network flow
- particle filter
- image sequences
- video sequences
- mean shift
- appearance model
- kalman filter
- energy function
- linear programming
- active shape model
- computer vision
- visual tracking
- optimization model
- moving objects
- image segmentation
- multiple cameras
- particle filtering
- partial occlusion
- active appearance models
- shape prior
- shape variations
- object boundaries
- integer programming
- medical images
- illumination variations
- object detection