pub trait BackgroundSubtractorGMGConst: BackgroundSubtractorConst {
fn as_raw_BackgroundSubtractorGMG(&self) -> *const c_void;
fn get_max_features(&self) -> Result<i32> { ... }
fn get_default_learning_rate(&self) -> Result<f64> { ... }
fn get_num_frames(&self) -> Result<i32> { ... }
fn get_quantization_levels(&self) -> Result<i32> { ... }
fn get_background_prior(&self) -> Result<f64> { ... }
fn get_smoothing_radius(&self) -> Result<i32> { ... }
fn get_decision_threshold(&self) -> Result<f64> { ... }
fn get_update_background_model(&self) -> Result<bool> { ... }
fn get_min_val(&self) -> Result<f64> { ... }
fn get_max_val(&self) -> Result<f64> { ... }
}
Expand description
Background Subtractor module based on the algorithm given in Gold2012 .
Takes a series of images and returns a sequence of mask (8UC1) images of the same size, where 255 indicates Foreground and 0 represents Background. This class implements an algorithm described in “Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive Audio Art Installation,” A. Godbehere, A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.
Required Methods
fn as_raw_BackgroundSubtractorGMG(&self) -> *const c_void
Provided Methods
fn get_max_features(&self) -> Result<i32>
fn get_max_features(&self) -> Result<i32>
Returns total number of distinct colors to maintain in histogram.
fn get_default_learning_rate(&self) -> Result<f64>
fn get_default_learning_rate(&self) -> Result<f64>
Returns the learning rate of the algorithm.
It lies between 0.0 and 1.0. It determines how quickly features are “forgotten” from histograms.
fn get_num_frames(&self) -> Result<i32>
fn get_num_frames(&self) -> Result<i32>
Returns the number of frames used to initialize background model.
fn get_quantization_levels(&self) -> Result<i32>
fn get_quantization_levels(&self) -> Result<i32>
Returns the parameter used for quantization of color-space.
It is the number of discrete levels in each channel to be used in histograms.
fn get_background_prior(&self) -> Result<f64>
fn get_background_prior(&self) -> Result<f64>
Returns the prior probability that each individual pixel is a background pixel.
fn get_smoothing_radius(&self) -> Result<i32>
fn get_smoothing_radius(&self) -> Result<i32>
Returns the kernel radius used for morphological operations
fn get_decision_threshold(&self) -> Result<f64>
fn get_decision_threshold(&self) -> Result<f64>
Returns the value of decision threshold.
Decision value is the value above which pixel is determined to be FG.
fn get_update_background_model(&self) -> Result<bool>
fn get_update_background_model(&self) -> Result<bool>
Returns the status of background model update
fn get_min_val(&self) -> Result<f64>
fn get_min_val(&self) -> Result<f64>
Returns the minimum value taken on by pixels in image sequence. Usually 0.
fn get_max_val(&self) -> Result<f64>
fn get_max_val(&self) -> Result<f64>
Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.