Incorporating skin color for improved face detection and tracking system

B. Dahal, Abeer Alsadoon, P. W.C. Prasad, Amr Elchouemi

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

8 Citations (Scopus)


Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color segmentation, appearance, and eigen-based identification. These techniques use image classifiers (both weak and strong) but are not very accurate. This paper introduces a hybrid method that utilizes skin color for increasing accuracy of detection and tracking. In our method, an image is rescaled and divided based on skin color, using RGB (red-green-blue) color combinations. The divided skin tone image is combined with the edges of images before applying the morphological operations. As a final step, a bounding box appears on the detected face.
Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation
Subtitle of host publicationSSIAI 2016
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Electronic)9781467399197
Publication statusPublished - 25 Apr 2016
Event2016 IEEE Southwest Symposium on Image Analysis and Interpretation: SSIAI 2016 - La Fonda on the Plaza, Santa Fe, United States
Duration: 06 Mar 201608 Mar 2016 (Conference proceedings)


Conference2016 IEEE Southwest Symposium on Image Analysis and Interpretation
Country/TerritoryUnited States
CitySanta Fe
Internet address


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