Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Object Tracking.
Tianyang XuZhen-Hua FengXiao-Jun WuJosef KittlerPublished in: IEEE Trans. Image Process. (2019)
Keyphrases
- feature selection
- visual object tracking
- temporal consistency
- unsupervised learning
- correlation filters
- spatial information
- data sets
- motion estimation
- signal processing
- dimensionality reduction
- supervised learning
- reinforcement learning
- high quality
- feature extraction
- computer vision
- learning algorithm
- machine learning