How can I make this features extraction code to detect and count
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Hi
i need to make this code to detect and track people it extract feaures and combine it i an array
pointrgb=detectSURFFeatures(gryI2,'NumOctaves',1,'NumScaleLevels',3,'MetricThreshold',5000);
[features22, valid_points22] = extractFeatures((gryI2),pointrgb);
[reg,dd] = detectMSERFeatures(rgb2gray(I2),'ThresholdDelta',1,'MaxAreaVariation',1);
[features33, valid_points33] = extractFeatures((gryI2),reg);
comfeat2{k,:}=[features22(:,:);features33(:,:)];
valid_pointscom{k,:}=vertcat(valid_points33,valid_points22);
Respuestas (1)
Prabhan Purwar
el 27 de Ag. de 2019
0 votos
Hey,
Detection and Tracking are two interdependent processes.
Object Detection and Recognition Code based upon Point Feature Matching can be downloaded from the link attached.
Tracking of an object can be performed using the following links.
Note: Ignore the Augmented Reality (AR) part in the video, object detection and tracking based upon Point Feature Matching.
- https://www.mathworks.com/videos/object-recognition-and-tracking-for-augmented-reality-90546.html (Video with code and methodology explained)
Although I would suggest you making use of more advanced detection and tracking techniques, such as Motion-Based Multiple Object Tracking, Face Detection and Tracking Using CAMShift, Kanade-Lucas-Tomasi (KLT) point tracking algorithm, Kalman Filtering to predict the location of a moving object and others.
Link to some of the popular techniques are listed below:
- https://www.mathworks.com/help/vision/examples/face-detection-and-tracking-using-camshift.html(Face Detection and Tracking Using CAMShift)
- https://www.mathworks.com/help/vision/examples/motion-based-multiple-object-tracking.html(Motion-Based Multiple Object Tracking)
- https://www.mathworks.com/videos/computer-vision-with-matlab-for-object-detection-and-tracking-81866.html?elqsid=1566898167845&potential_use=Home(Computer Vision with MATLAB for Object Detection and Tracking)
- https://www.mathworks.com/products/computer-vision.html (CV Toolbox)
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