LST
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
A target tracking algorithm based on local sparse representation, which captures local features of the target through sparse coding to improve robustness against occlusion and deformation.
SCAFFOLDING EFFECT
Reduce cognitive load
Local features resist interference. When part of the target is occluded, tracking can still be maintained through the local features of the visible part.
Anchor fast decisions
A target tracking algorithm based on local sparse representation. The mechanism is **local feature anti-interference**—decomposing the target into local patches and representing them with sparse coding. When part of the target is occluded, tracking can still be maintained relying on the sparse features of the visible local parts, making it more robust to occlusion and deformation.
MINIMUM ACTION
In progress 0/4Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/LSTverified
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