Real-time human body detection method based on AdaBoost frame and colour of head
A technology of human body detection and head, which is applied in computer parts, character and pattern recognition, instruments, etc., can solve the problems of poor detection effect and fast detection speed, improve head feature discrimination, reduce false alarm rate, and improve The effect of detecting the effect
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[0030] The following examples describe the present invention in more detail:
[0031] 1 training-HOG feature extraction
[0032] 1.1 Feature extraction process
[0033] The feature extraction process is as follows.
[0034] (1) Make feature templates (see section 1.3 for specific methods) and save;
[0035] (2) Load the feature template, and generate a feature mapping table according to the feature template (see section 1.3 for specific methods);
[0036] (3) Extract features according to the feature mapping table;
[0037] For each training sample image, feature extraction is completed in the following steps.
[0038] (1) Scale the image to 64×128 size;
[0039] (2) Use the mask of [-1 0 1] to calculate its gradient amplitude image and direction angle image;
[0040] (3) Divide the image into cells whose basic units are 2, 4, and 8, respectively; calculate multi-scale cell features;
[0041] (4) Form the feature vector (see section 1.3).
[0042] 1.2 Calculation of multi-scale cell features
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