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Tracking.m
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277 lines (114 loc) · 4.58 KB
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function [ tracks,adjacency_tracks] = Tracking(points, varargin)
p = inputParser;
defaultDebug = false;
defaultMaxGapClosing = 3;
defaultMaxLinkingDistance = Inf;
defaultMethod = 'NearestNeighbor';
p.addParameter('Debug', defaultDebug, @islogical);
p.addParameter('MaxGapClosing', defaultMaxGapClosing, @isnumeric);
p.addParameter('MaxLinkingDistance', defaultMaxLinkingDistance, @isnumeric);
p.addParameter('Method', defaultMethod);
p.parse( varargin{:} );
debug = p.Results.Debug;
max_gap_closing = p.Results.MaxGapClosing;
max_linking_distance = p.Results.MaxLinkingDistance;
method = p.Results.Method;
%% Frame to frame linking
if debug
fprintf('Frame to frame linking using %s method.\n', method);
end
n_slices = numel(points);
current_slice_index = 0;
row_indices = cell(n_slices, 1);
column_indices = cell(n_slices, 1);
unmatched_targets = cell(n_slices, 1);
unmatched_sources = cell(n_slices, 1);
n_cells = cellfun(@(x) size(x, 1), points);
if debug
fprintf('%03d/%03d', 0, n_slices-1);
end
for i = 1 : n_slices-1
if debug
fprintf(repmat('\b', 1, 7));
fprintf('%03d/%03d', i, n_slices-1);
end
source = points{i};
target = points{i+1};
% Frame to frame linking
[target_indices , ~, unmatched_targets{i+1} ] = nearestneighborlinker(source, target, max_linking_distance);
unmatched_sources{i} = find( target_indices == -1 );
% Prepare holders for links in the sparse matrix
n_links = sum( target_indices ~= -1 );
row_indices{i} = NaN(n_links, 1);
column_indices{i} = NaN(n_links, 1);
% Put it in the adjacency matrix
index = 1;
for j = 1 : numel(target_indices)
% If we did not find a proper target to link, we skip
if target_indices(j) == -1
continue
end
% The source line number in the adjacency matrix
row_indices{i}(index) = current_slice_index + j;
% The target column number in the adjacency matrix
column_indices{i}(index) = current_slice_index + n_cells(i) + target_indices(j);
index = index + 1;
end
current_slice_index = current_slice_index + n_cells(i);
end
row_index = vertcat(row_indices{:});
column_index = vertcat(column_indices{:});
link_flag = ones( numel(row_index), 1);
n_total_cells = sum(n_cells);
if debug
fprintf('\nCreating %d links over a total of %d points.\n', numel(link_flag), n_total_cells)
end
A = sparse(row_index, column_index, link_flag, n_total_cells, n_total_cells);
if debug
fprintf('Done.\n')
end
%% Parse adjacency matrix to build tracks
if debug
fprintf('Building tracks:\n')
end
% Find columns full of 0s -> means this cell has no source
cells_without_source = [];
for i = 1 : size(A, 2)
if length(find(A(:,i))) == 0 %#ok<ISMT>
cells_without_source = [ cells_without_source ; i ]; %#ok<AGROW>
end
end
n_tracks = numel(cells_without_source);
adjacency_tracks = cell(n_tracks, 1);
AT = A';
for i = 1 : n_tracks
tmp_holder = NaN(n_total_cells, 1);
target = cells_without_source(i);
index = 1;
while ~isempty(target)
tmp_holder(index) = target;
target = find( AT(:, target), 1, 'first' );
index = index + 1;
end
adjacency_tracks{i} = tmp_holder ( ~isnan(tmp_holder) );
end
tracks = cell(n_tracks, 1);
for i = 1 : n_tracks
adjacency_track = adjacency_tracks{i};
track = NaN(n_slices, 1);
for j = 1 : numel(adjacency_track)
cell_index = adjacency_track(j);
% We must determine the frame this index belong to
tmp = cell_index;
frame_index = 1;
while tmp > 0
tmp = tmp - n_cells(frame_index);
frame_index = frame_index + 1;
end
frame_index = frame_index - 1;
in_frame_cell_index = tmp + n_cells(frame_index);
track(frame_index) = in_frame_cell_index;
end
tracks{i} = track;
end
end