Human Activity Detection using RGBD Images
Abstract: Human Activity Detection Using RGBD aims to solve problems by representing images with feature vectors (color, texture, shape) in the database. Those feature vectors are extracted from image without human intervention. Here, we are particularly focusing to create such a system which will helps us identifying, whether a person is suffering from cancer or not, with the help of RGBD images. The challenge is to develop a system that is low cost and reliable.
Keywords: Oncogenic, correlogram, color histogram, RGBD, co-occurrence matrix
How to Cite?: Nisha Tiwari, Bhoopendra Dwivedi, "Human Activity Detection using RGBD Images", Volume 5 Issue 12, December 2016, International Journal of Science and Research (IJSR), Pages: 255-257, https://www.ijsr.net/getabstract.php?paperid=ART20163356, DOI: https://dx.doi.org/10.21275/ART20163356