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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 12, December 2016
Human Activity Detection using RGBD Images
Nisha Tiwari | Bhoopendra Dwivedi [3]
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
Similar Articles with Keyword 'color histogram'
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 2318 - 2322An Adaptive Histogram Values & Texture Descriptor for Data Analysis
Ritika Verma | Vinay Thakur
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Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015
Pages: 1731 - 1734A Survey on Multimodal Visual Search Methods
Seema Ranuji Ghule