Abstract
Face detection and recognition mechanisms are widely used in many multimedia and security devices. The concept is called face detection and there are significant numbers of studies into face recognition, particularly for image processing and computer vision. However, there remain significant challenges in the existing systems due to limitations behind algorithms. Viola Jones and Cascade Classifier are considered the best algorithms from among existing systems. They can detect faces in unconstrained Crowd Scene with half and full face detection methods. However, limitations of these systems are affecting accuracy and processing time. This project presents a propose solution called VJaC (Viola Jones and Cascade). It is based on the study of current systems, features and limitations. This system considered three main factors, processing time, accuracy and training. These factors are tested on different sample images, and compared with current systems.
Original language | English |
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Title of host publication | Proceedings of 2016 1st International conference on multimedia and image processing ICMIP 2016 |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 5-9 |
Number of pages | 5 |
ISBN (Electronic) | 9781467389402 |
ISBN (Print) | 9781467389419 |
DOIs | |
Publication status | Published - 21 Sept 2016 |
Event | 1st International Conference on Multimedia and Image Processing: ICMIP 2016 - University of Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam Duration: 01 Jun 2016 → 03 Jun 2016 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7573054 (Preface to Proceedings) |
Conference
Conference | 1st International Conference on Multimedia and Image Processing |
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Country/Territory | Brunei Darussalam |
City | Bandar Seri Begawan |
Period | 01/06/16 → 03/06/16 |
Internet address |
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