Co-Occurrence of Local Binary Patterns Features for Frontal Face Detection in Surveillance Applications

Autor: Louis Wael, Plataniotis KN
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: EURASIP Journal on Image and Video Processing, Vol 2011, Iss 1, p 745487 (2011)
Druh dokumentu: article
ISSN: 1687-5176
1687-5281
Popis: Face detection in video sequence is becoming popular in surveillance applications. The tradeoff between obtaining discriminative features to achieve accurate detection versus computational overhead of extracting these features, which affects the classification speed, is a persistent problem. This paper proposes to use multiple instances of rotational Local Binary Patterns (LBP) of pixels as features instead of using the histogram bins of the LBP of pixels. The multiple features are selected using the sequential forward selection algorithm we called Co-occurrence of LBP (CoLBP). CoLBP feature extraction is computationally efficient and produces a high-performance rate. CoLBP features are used to implement a frontal face detector applied on a 2D low-resolution surveillance sequence. Experiments show that the CoLBP face features outperform state-of-the-art Haar-like features and various other LBP features extensions. Also, the CoLBP features can tolerate a wide range of illumination and blurring changes.
Databáze: Directory of Open Access Journals
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