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Real Time Face Detection with Skin and Feature Based Approach and Reorganization using Genetic Algorithm


Affiliations
1 Department of Engineering, Lakshmi Narain College of Technology, Bhopal-(M.P), India
2 Department of Engineering, Lakshmi Narain College of Technology, Bhopal (M.P), India
     

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Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in variety of application domains (e.g., airports, traffic, Terrorist attack).A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. We propose a face recognition system that identifies faces in video. The system utilizes the rich information in video. The description of the proposed method and preliminary results are provided.

Keywords

Face Detection, Image Enhancement, Skin Color Detection, Feature Extraction, Pattern Recognization, Luminance, Color Transform.
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  • Real Time Face Detection with Skin and Feature Based Approach and Reorganization using Genetic Algorithm

Abstract Views: 227  |  PDF Views: 3

Authors

Tanvi Chauhan
Department of Engineering, Lakshmi Narain College of Technology, Bhopal-(M.P), India
Vineet Richhariya
Department of Engineering, Lakshmi Narain College of Technology, Bhopal (M.P), India

Abstract


Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in variety of application domains (e.g., airports, traffic, Terrorist attack).A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. We propose a face recognition system that identifies faces in video. The system utilizes the rich information in video. The description of the proposed method and preliminary results are provided.

Keywords


Face Detection, Image Enhancement, Skin Color Detection, Feature Extraction, Pattern Recognization, Luminance, Color Transform.