A new approach for human activity analysis through identification of body parts using skin colour segmentation

The objective of this paper is to give a new approach for identifying the human body parts like head, hands and legs for activity analysis. Here, the proposal is made for using different colour space algorithms for identifying the elements of the human body. We have used six dissimilar colour space algorithms such as RGB, YCbCr, HSV1, HSV2, HSI and rgb (Normalised RGB) to analyse the human activities in indoor video sequences. Here, 11 activities have been considered. In the proposed work, the RGB skin model provides the efficiency of 96.35% whereas YCbCr colour space algorithm gives 45.51%.