A FAST FACE DETECTION METHOD FOR ILLUMINATION VARIANT CONDITION

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HSIAO C.H.; CHIANG J.S.; LIN C.Y.

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Journal Paper

Paper Information

Journal: Scientia Iranica Year:2015 | Volume:22 | Issue:6 (TRANSACTIONS B: MECHANICAL ENGINEERING) Page(s): 2081-2091

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Information Journal Paper

Title

A FAST FACE DETECTION METHOD FOR ILLUMINATION VARIANT CONDITION

Author(s)

HSIAO C.H. | CHIANG J.S. | LIN C.Y. | Issue Writer Certificate

Keywords

ILLUMINATION VARIANT FACE DETECTION

ADABOOST

NEURAL NETWORK

MODIFIED CENSUS TRANSFORM

REAL-TIME DETECTION

Abstract

General boosting algorithms for face detection use rectangular features. To obtain a better performance, it needs more training samples and may generate an unpredictable number of features. Besides using pixel values, which are easily affected by illumination, to calculate the rectangular features, it usually needs to preprocess the data before calculating the values of the features. Such an approach may increase computation time. To overcome the drawbacks, we propose a new solution based on the ADABOOST algorithm and the Back Propagation Network (BPN) of a NEURAL NETWORK (NN), combining local and global features with cascade architecture to detect human faces. We use the MODIFIED CENSUS TRANSFORM (MCT) feature, which belongs to texture features and is less sensitive to illumination, for local feature calculation. In this approach, it is not necessary to preprocess each sub-window of the image. For classification, we use the structure of the hierarchical feature to control the number of features. With only MCT, it is easy to misjudge faces and, therefore, in this work, we include the brightness information of global features to eliminate the False Positive (FP) regions. As a result, the proposed approach can have a Detection Rate (DR) of 99%, an FPs of only 11, and detection speed of 27.92 Frames Per Second (FPS).

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APA: Copy

HSIAO, C.H., CHIANG, J.S., & LIN, C.Y.. (2015). A FAST FACE DETECTION METHOD FOR ILLUMINATION VARIANT CONDITION. SCIENTIA IRANICA, 22(6 (TRANSACTIONS B: MECHANICAL ENGINEERING)), 2081-2091. SID. https://sid.ir/paper/290515/en

Vancouver: Copy

HSIAO C.H., CHIANG J.S., LIN C.Y.. A FAST FACE DETECTION METHOD FOR ILLUMINATION VARIANT CONDITION. SCIENTIA IRANICA[Internet]. 2015;22(6 (TRANSACTIONS B: MECHANICAL ENGINEERING)):2081-2091. Available from: https://sid.ir/paper/290515/en

IEEE: Copy

C.H. HSIAO, J.S. CHIANG, and C.Y. LIN, “A FAST FACE DETECTION METHOD FOR ILLUMINATION VARIANT CONDITION,” SCIENTIA IRANICA, vol. 22, no. 6 (TRANSACTIONS B: MECHANICAL ENGINEERING), pp. 2081–2091, 2015, [Online]. Available: https://sid.ir/paper/290515/en

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