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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016 | Popularity: 6.5 / 10
Human Activity Detection using RGBD Images
Nisha Tiwari, Bhoopendra Dwivedi
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
Edition: Volume 5 Issue 12, December 2016
Pages: 255 - 257
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