下列matlab代码将高斯混合模型 Gaussian mixture models (GMMs)用于数字视频的运动检测,摄像机和街景背景静止,只有最多两辆轿车运动。请根据上下文填写(2)、(11)、(13)、(16)、(24)横线处代码。 (1) foregroundDetector = vision.ForegroundDetector('NumGaussians', 3, 'NumTrainingFrames', 50); (2) = vision.Blobysis('BoundingBoxOutputPort', true, 'AreaOutputPort', false, 'CentroidOutputPort', false, 'MinimumBlobArea', 150); (3) videoReader = vision.VideoFileReader('visiontraffic.avi'); (4) videoPlayer = vision.VideoPlayer('Name', 'Detected Cars'); (5) videoPlayer.Position(3:4) = [650,400]; % window size: [width, height] (6) se = strel('square', 3); % morphological filter for noise removal (7) while ~isDone(videoReader) (8) % read the next video frame (9) frame = step(videoReader); (10) % Detect the foreground in the current video frame (11) foreground = step(foregroundDetector, ); (12) % Use morphological opening to remove noise in the foreground (13) filteredForeground = imopen(foreground, ); (14) % Detect the connected components with the specified minimum area, and (15) % compute their bounding boxes (16) bbox = step(blobysis, ); (17) % Draw bounding boxes around the detected cars (18) result = insertShape(frame, 'Rectangle', bbox, 'Color', 'green'); (19) % Display the number of cars found in the video frame (20) numCars = size(bbox, 1); (21) result = insertText(result, [10 10], numCars, 'BoxOpacity', 1, 'FontSize', 14); (22) step(videoPlayer, result); % display the results (23)end (24) release( ); % close the video file