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Detecting humans in films and videos is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, illumination and background clutter. We develop a detector for standing and moving people in videos, testing several different motions coding schemes and showing empiricall...
Context in source publication
Context 1
... The locations of the sub_images of size 64x128, which are declared to contain humans. As shown in figure 1, The first step is to compute for each pixel of the whole image, the magnitude |Vf(x,y)| and the orientation Ө(x,y) of the gradient Vf(x,y). In Step 2: From top to bottom and left to right, scan the whole image with a 64x128 window. ...
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