Real-Time Age, Sex and Emotion Detection (Using Deep Learning)

May 2022
Vol-8, Issue-3
Paper ID: 16962
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Science & Engineering
Keywords
Facial Characteristics Age Emotion and Gender Face Recognition CNN AdaBoost Gabor-LBP real time Artificial Intelligence Machine Learning Deep Learning
Abstract
In this paper, we describe a real-time default system that estimates age and gender using a set of face sequences from the video camera. Age and gender equation system consists of four steps: i) detection and removal of facial expressions in the input video; ii) selection of images of the front face from the extracted face areas using the shape of the head; iii) duplicate face detection and facial removal; and iv) age and gender equality using statistics facial features. Here, LBP features with AdaBoost components are used to locate the surface area video frame, and front-facing images are selected using the 3D pose simulation method. In addition, Particle-based tracking system is used to remove duplicate faces and to improve condition census accuracy, and Gabor-LBP features are used to measure age and gender using SVM line and Adaboost categories. In tests, a large number of facial data sets are used for training and to evaluate the proposed method, and the maximum performance is achieved by age and gender average: 72.53% of age and 98.90% gender.

Author Information

# Name Institute / Affiliation
1 Ritesh Kumar Dubey Raj Kumar Goel Institute of Technology
2 Shivam Kripashankar Singh Raj Kumar Goel Institute of Technology
3 Tanmay Gupta Raj Kumar Goel Institute of Technology
4 Prakhar Kumar Raj Kumar Goel Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dubey, Ritesh Kumar, Singh, Shivam Kripashankar, Gupta, Tanmay, & Kumar, Prakhar (2022). Real-Time Age, Sex and Emotion Detection (Using Deep Learning). International Journal of Advance Research and Innovative Ideas In Education, 8(3), 2209-2216.
MLA Style
Dubey, Ritesh Kumar, et al. "Real-Time Age, Sex and Emotion Detection (Using Deep Learning)." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 2209-2216.
IEEE Style
Ritesh Kumar Dubey, Shivam Kripashankar Singh, Tanmay Gupta, and Prakhar Kumar, "Real-Time Age, Sex and Emotion Detection (Using Deep Learning)," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 2209-2216, 2022.
Vancouver Style
Dubey Ritesh Kumar, Singh Shivam Kripashankar, Gupta Tanmay, Kumar Prakhar. Real-Time Age, Sex and Emotion Detection (Using Deep Learning). International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):2209-2216.
Harvard Style
Dubey, Ritesh Kumar, Singh, Shivam Kripashankar, Gupta, Tanmay, & Kumar, Prakhar (2022) 'Real-Time Age, Sex and Emotion Detection (Using Deep Learning)', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 2209-2216.
Chicago Style
Dubey, Ritesh Kumar, et al. "Real-Time Age, Sex and Emotion Detection (Using Deep Learning)." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2209-2216.
Turabian Style
Dubey, Ritesh Kumar, et al. "Real-Time Age, Sex and Emotion Detection (Using Deep Learning)." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 2209-2216.

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