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http://dx.doi.org/10.6109/jkiice.2020.24.3.378

Improved Facial Component Detection Using Variable Parameter and Verification  

Oh, Jeong-su (Department of Display Engineering, Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.3, 2020 , pp. 378-383 More about this Journal
Abstract
Viola & Jones' object detection algorithm is a very good algorithm for the face component(FC) detection, but there are still problems such as duplicate detection, false detection and non-detection due to parameter setting. This paper proposes an improved FC detection algorithm that applies the variable parameter to reduce non-detection and the verification to reduce duplicate detection and false detection to the Viola & Jones' algorithm. The proposed algorithm reduces the non-detection by changing the parameter value of the Viola & Jones' algorithm until the potential valid FCs are detected, and eliminates the duplicate detection and the false detection by using the verification that evaluates size, position, and uniqueness of the detected FCs. Simulation results show that the proposed algorithm includes valid FCs in the detected objects and then detects only the valid FCs by removing invalid FCs from them.
Keywords
objet detection; object verification; face detection; face component detection; classifier;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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