Performs object detection without a multi-scale window

[pts, weights] = hog.detect(im)
[...] = hog.detect(im, 'OptionName', optionValue, ...)

Input

• im 8-bit 1- or 3-channel image where objects are detected.

Output

• pts Top-left corner points of detected objects boundaries. A cell array of points where objects are found of the form {[x,y], ...}. The width and height of boundaries are specified by the WinSize parameter.
• weights Ouput vector of associated weights. Contains confidence values for each detected object.

Options

• HitThreshold Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here. default 0
• WinStride Window stride [w,h]. It must be a multiple of block stride. Not set by default in which case it uses CellSize.
• Padding Padding [w,h]. default [0,0]
• Locations cell array of 2-element points {[x,y],...} of requested locations at which detector is evaluated. Not set by default, in which case the whole image is searched with a sliding window.

SvmDetector should be set before calling this method.