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Ok, so the training for pedestrians implies that a full pedestrian (from head to toes) should be visible before the upper body can be detected. It still surprises me that your code finds 2 hits while mine finds none. Are you willing to share it? Thank you :)

Ok, so the training for pedestrians implies that a full pedestrian (from head to toes) should be visible before the upper body can be detected. It still surprises me that your code finds 2 hits while mine finds none. Are you willing to share it? Thank you :)

I tried with OpenCV 3.0 but the problem persists.. Anybody?

My problem: no upper bodies are being detected when using haarcascade_profileface.xml or haarcascade_mcs_profileface.xml.

Software used:

• print cv2._ _version__ yields 3.0.0 although the x86 version (cv2.pyd) of OpenCV 3.1 is used

• Python 2.7 x86

• Numpy 11.1.0 x86
• Eclipse x86
• Windows 7 x64

(I tried with all x64 version but upperbodies remain undetected)

The following code is used:

import numpy as np
import cv2

img = cv2.imread('723.jpg',0)

upperBody_cascade = cv2.CascadeClassifier('haarcascade_upperbody.xml')    

arrUpperBody = upperBody_cascade.detectMultiScale(img)
if arrUpperBody != ():
        for (x,y,w,h) in arrUpperBody:
            cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
        print 'body found'

cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

Result: no upper bodies detected:

Using haarcascade _mcs_upperbody.xml also yields NO detection.

When other haarcascades (eye, nose, mouth, face_default) are used, detection works fine. (And similar code using a webcam stream shows the same behaviour)

Does anyone have an idea what can be the issue here?