Detecting occluded faces in unconstrained crowd digital pictures

S. Janahiram , Abeer Alsadoon, P. W. C. Prasad, A. M. S. Rahma, A. Elchouemi, S. M. N. Arosha Senanayake

Research output: Book chapter/Published conference paperConference paperpeer-review


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 languageEnglish
Title of host publicationProceedings of 2016 1st International conference on multimedia and image processing ICMIP 2016
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781467389402
ISBN (Print)9781467389419
Publication statusPublished - 21 Sept 2016
Event1st International Conference on Multimedia and Image Processing: ICMIP 2016 - University of Brunei Darussalam, Bandar Seri Begawan, Brunei Darussalam
Duration: 01 Jun 201603 Jun 2016 (Preface to Proceedings)


Conference1st International Conference on Multimedia and Image Processing
Country/TerritoryBrunei Darussalam
CityBandar Seri Begawan
Internet address


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