An ICSC Model for Detecting Human Skin in JPEG Images

Al-Mohair, Hani K.

doi:10.37394/232014.2020.16.9

Wseas Transactions on Signal Processing

2020

DOI: 10.37394/232014.2020.16.9

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An ICSC Model for Detecting Human Skin in JPEG Images

Hani K. Al-Mohair

Abstract: The detection of human skin color has proven to be a useful and robust technique for detecting nude images, face detection, localization and tracking. This paper presents an Improved Chromatic Skin Color model to detect the human skin in JPEG images; the ICSC model detected the human skin with detection rates more than 90%. A threshold method and 2D Gaussian model will improve the accuracy of skin regions detected

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2021

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Face Tracking via Content Aware Correlation Filter

Yin

Sun

et al. 2021

International Journal of Circuits, Systems and Signal Processing

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Face tracking is an importance task in many computer vision based augment reality systems. Correlation filters (CFs) have been applied with great success to several computer vision problems including object detection, classification and tracking, but few CF-based methods are proposed for face tracking. As an essential research direction in computer vision, face tracking is very important in many human-computer applications. In this paper, we present a content aware CF for face tracking. In our work, face content refers to the locality sensitive histogram based foreground feature and the learning samples extracted from complex background. It means that both foreground and background information are considered in constructing the face tracker. The foreground feature is introduced into the objective function which could learn an efficient model to adapt to the face appearance variation. For evaluating the proposed face tracker, we build a dataset which contains 97 video sequences covering the 11 challenging attributes of face tracking. Extensive experiments are conducted on the dataset and the results demonstrate that the proposed face tracker shows superior performance to several state-of-the-art tracking algorithms.

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Face Tracking via Content Aware Correlation Filter

Yin

Sun

et al. 2021

International Journal of Circuits, Systems and Signal Processing

View full text Add to dashboard Cite

show abstract

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An ICSC Model for Detecting Human Skin in JPEG Images

Cited by 1 publication

References 14 publications

Face Tracking via Content Aware Correlation Filter

Face Tracking via Content Aware Correlation Filter

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