Learnable Diffusion-Based Amplitude Feature Augmentation for Object Tracking in Intelligent Vehicles.
Zhibin ZhangWanli XueQinghua LiuKaihua ZhangShengyong ChenPublished in: IEEE Trans. Intell. Veh. (2024)
Keyphrases
- object tracking
- intelligent vehicles
- image sequences
- mean shift
- particle filter
- appearance model
- video surveillance
- video sequences
- surveillance videos
- computer vision
- moving objects
- motion detection
- vehicle detection
- appearance modeling
- scene segmentation
- robust object tracking
- sparse representation
- image features
- object appearance
- multiple cameras
- multi camera
- feature selection
- supervised learning
- traffic signs
- computer controlled
- feature vectors
- object recognition
- feature extraction