An Improvised Methodfor Detecting Face as ROI in Video
Urmila Pilania1, Prinima Gupta2
1Urmila Pilania, Department of Computer Science & Technology, ManavRachna University, Faridabad, India
2Prinima Gupta, Department of Computer Science & Technology, ManavRachna University, Faridabad, India

Manuscript received on 03 April 2019 | Revised Manuscript received on 07 May 2019 | Manuscript published on 30 May 2019 | PP: 341-344 | Volume-8 Issue-1, May 2019 | Retrieval Number: A3344058119/19©BEIESP
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Abstract: Objective of the paper is to detect human faces in a video. Lenient decision-based face detection structure is developed. Strength of this structurecan be calculated for a variety of poses, complex backgrounds, face expressions, existence or nonexistence of structural components, orientation of image, condition of imageand blur noises. In particular paper will focus on acolor-based skin model for finding face inside a video which is a unique Region of Interest (ROI). This ROI is calculated, with Improvised Voila Jones Algorithm using Adaboost Cascades. The algorithm is capable of detecting range of unlike faces along with difficulty associated to different illumination conditions, different facial expressions, Image conditions and complex background details. The proposed algorithm detects faces with minimum calculation time while maintaining high detection precision. Then the unique ROI is used for embedding secret information to improve security, robustness, flexibility and imperceptibility of stego file.
Keywords: Region of Interest (ROI), Voila Jones, Video Steganography, Robust, Imperceptivity, Haar Transform, Adaboost, Cascades and Integral Image.

Scope of the Article:
Bio – Science and Bio – Technology