Real-Time Age, Sex and Emotion Detection (Using Deep Learning)
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.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
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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