Real-Time Face Detection and Counting Using MATLAB

This paper presents a MATLAB-based system for real-time face detection and counting using the Viola-Jones algorithm via the vision.CascadeObjectDetector. The system supports two modes: live webcam detection and static image analysis. In both modes, detected faces are highlighted with bounding boxes and labeled sequentially, along with a total face count displayed on-screen. The live mode processes video frames in real time, allowing continuous face detection until manually stopped. The system demonstrates efficient and accurate performance, making it suitable for applications like surveillance and attendance tracking.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-13
DOI
https://doi.org/10.5281/zenodo.16847901
Primary Topic
Face and Expression Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Real-Time Face Detection and Counting Using MATLAB

Zenodo (CERN European Organization for Nuclear Research)
Face and Expression Recognition
article

Real-Time Face Detection and Counting Using MATLAB

article en

Abstract

This paper presents a MATLAB-based system for real-time face detection and counting using the Viola-Jones algorithm via the vision.CascadeObjectDetector. The system supports two modes: live webcam detection and static image analysis. In both modes, detected faces are highlighted with bounding boxes and labeled sequentially, along with a total face count displayed on-screen. The live mode processes video frames in real time, allowing continuous face detection until manually stopped. The system demonstrates efficient and accurate performance, making it suitable for applications like surveillance and attendance tracking.

Zenodo (CERN European Organization for Nuclear Research)
Green University of Bangladesh (BD)
Openalex Percentile: Top 56%
Face and Expression Recognition
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