Reliable Object Tracking by Multimodal Hybrid Feature Extraction and Transformer-Based Fusion.
Hongze SunRui LiuWuque CaiJun WangYue WangHuajin TangYan CuiDezhong YaoDaqing GuoPublished in: CoRR (2024)
Keyphrases
- object tracking
- feature extraction
- particle filter
- video sequences
- mean shift
- kalman filter
- image sequences
- sparse representation
- appearance model
- computer vision
- appearance modeling
- occlusion handling
- data fusion
- moving objects
- robust object tracking
- video surveillance systems
- scene segmentation
- particle filtering
- multi sensor
- partial occlusion
- visual tracking
- feature vectors
- feature selection
- visual object tracking
- multiple cameras
- pattern recognition
- video surveillance
- face recognition
- image classification
- dimensionality reduction
- multiple object tracking
- higher order
- principal component analysis
- image processing
- feature space
- machine learning
- multi camera
- tracking accuracy
- background subtraction
- robust tracking
- object location
- signal processing
- image features