Abstract: Study of finger pointing gesture is significant due to the fact that pointing gesture is an optimal mode in human computer interaction. Extraction of fingers is a key problem to pointing gesture. Any variation of sensible motion target in scenes can be found and there are some differences between the intensities of R, G and B components in a color image in shadow region. An adaptive background modeling method is developed based on long series multi-frame difference and fusion of RGB color information. Motion targets are extracted from clutter background based on the obtained background. According to the relative spatial position of finger in the image, opening operation of structuring element with an adaptive rectangular shape is adopted to horizontally segment motion targets regions. Finger regions and position of fingertip are then determined. Experimental results show that motion finger and fingertip can be extracted efficiently from clutter background.

Key words: background, pointing gesture, shadow
, segmentation