OBJECT DETECTION USING REAL TIME ALGORITHM WITH FACE RECOGNITION

The automated image tagging is an important part of modern search engines. The generated image tags can be constructed from object names and their attributes, for example, colors. This work presents an object color name detection real-time algorithm. It is applicable to any automatic object detection and localization systems. The presented algorithm is fast enough to run after the existing real-time object detection system, without adding visible overhead. The algorithm uses k-means to detect the dominant color and selects the correct name for the color via Delta E (CIE 2000).

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Real-time object detection and face recognition system to assist the visually impaired

Journal of Physics Conference Series ◽

10.1088/1742-6596/1706/1/012149 ◽

2020 ◽

Vol 1706 ◽

pp. 012149

Author(s):

Anish Aralikatti ◽

Jayanth Appalla ◽

S Kushal ◽

G S Naveen ◽

S Lokesh ◽

...

Keyword(s):

Face Recognition ◽

Object Detection ◽

Real Time ◽

Visually Impaired ◽

Recognition System ◽

Face Recognition System

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Real Time Person Recognition and Attendance Marking Using Holistic Based Approach

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse/v7i7/0220 ◽

2017 ◽

Vol 7 (7) ◽

pp. 302

Author(s):

Reshma P ◽

Muneer VK ◽

Muhammed Ilyas P

Keyword(s):

Face Recognition ◽

Real Time ◽

High Accuracy ◽

Efficient Technique ◽

Human Face ◽

Traditional Methods ◽

Person Recognition ◽

The Face

Face recognition is a challenging task for the researches. It is very useful for personal verification and recognition and also it is very difficult to implement due to all different situation that a human face can be found. This system makes use of the face recognition approach for the computerized attendance marking of students or employees in the room environment without lectures intervention or the employee. This system is very efficient and requires very less maintenance compared to the traditional methods. Among existing methods PCA is the most efficient technique. In this project Holistic based approach is adapted. The system is implemented using MATLAB and provides high accuracy.

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Real Time Gender and Age Prediction using Deep Learning Techniques

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.e2906.049620 ◽

2020 ◽

Vol 9 (6) ◽

pp. 797-801

Keyword(s):

Deep Learning ◽

Face Recognition ◽

Real Time ◽

Vital Role ◽

Learning Techniques ◽

Gender And Age ◽

The Face ◽

And Gender ◽

Gender Detection ◽

Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

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