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Data Hiding on Selected Object Track using Partial Least Square Analysis
Author(s) -
Ravi Shivhare,
Nitin Mishra
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2015907270
Subject(s) - computer science , track (disk drive) , square (algebra) , object (grammar) , data mining , artificial intelligence , operating system , mathematics , geometry
With the large increase of internet users people are transferring information in many ways. But information protection is still a major issue for the people where different type of intruders is ready to read sensitive information. So contributing this field paper has focus on the information hiding in video frames. In order to hide information, position in the frame object is identified by use of color Histogram method. Here each frame passes through algorithm to filter tracked object from others. As each object has some path in the video and that is totally random, this path is not any algorithm dependent and different for different objects in the video. So one of the implementation of this random path is message sending by hiding text of that data at the respective position. So a normal video act as perfect messenger.

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