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Effective sparse tracking with convolution-based discriminative sparse appearance model
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AI
DOI：10.1016/j.jvcir.2025.104547.png)
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Abstract
En 中文
• We propose a Convolution-based Discriminative Sparse Appearance (CDSA) model. • Our CDSA model exploits hierarchical structure features and discriminative features. • Our CDSA model exhibits strong effectiveness in handling external interferences. • Our CDSA-based tracker performs favorably against several state-of-the-art trackers.
Keywords:
Convolution-based Discriminative Sparse Appearance
hierarchical structure features
discriminative features
external interferences
tracking
Journal
IF:
3.1
Papers:
414
Citations:
5.6K