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MeanShiftTracker

iris::tracking

Struct MeanShiftTracker 

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pub struct MeanShiftTracker { /* private fields */ }
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A non-parametric kernel-based tracker that locates the densest region (the target) in successive frames.

The algorithm builds a colour-histogram model of the target region at initialisation time and then iteratively shifts the window towards the weighted mean (mean-shift) in each subsequent frame until convergence.

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impl MeanShiftTracker

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pub fn new() -> Self

Creates a new tracker with sensible defaults.

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pub fn with_bins(self, bins: usize) -> Self

Sets the number of histogram bins per channel.

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pub fn with_max_iter(self, max_iter: usize) -> Self

Sets the maximum number of mean-shift iterations.

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pub fn init<B: Backend>( &mut self, image: &Image<B>, roi: Rect<usize>, ) -> Result<()>

Initialises the tracker with a known region-of-interest in image.

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pub fn update<B: Backend>(&mut self, image: &Image<B>) -> Result<Rect<usize>>

Runs one mean-shift iteration and returns the updated bounding box.

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impl Default for MeanShiftTracker

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fn default() -> Self

Returns the “default value” for a type. Read more

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