Assembling of Human Beings in an Image to Detect a Group on the basis of Distance using Digital Image Processing
Pages : 462-466
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Abstract
Data clustering is a method in which we make cluster of objects that are somehow similar in characteristics. The criterion for checking the similarity is implementation dependent. If data has some meaning and it corresponds to a human being, than how we can group it in an image or a video. In this research work, I have used an algorithm for group detection in an image which is based on distance. In this paper, algorithm uses the concept of distance between the persons to detect groups in an image linear dimensionally.
Keywords: Data clustering, Digital image, group detection, Haar cascade, pixel distance.
Article published in International Journal of Current Engineering and Technology, Vol.6, No.2 (April-2016)
MECHPGCON, MIT College of Engineering, Pune, India
AMET, MIT College of Engineering, Pune, India
International Conference on Advances in Mechanical Sciences 
International Symposium on Engineering and Technology
International Conference on Women in Science and Engineering
