التفاصيل البيبلوغرافية
| العنوان: |
CAMShift face tracking with adaptive MB-LBP pre-filter. (English) |
| المؤلفون: |
CAI Can-hui, CUI Xiao-lin, ZHU Jian-qing, GE Zhu-bei |
| المصدر: |
Journal of Signal Processing; Nov2013, Vol. 29 Issue 11, p1540-1546, 7p |
| مصطلحات موضوعية: |
DISTRIBUTION (Probability theory), HUMAN facial recognition software, HISTOGRAMS, PROBABILITY theory, OBJECT tracking (Computer vision), OBJECT recognition (Computer vision) |
| مستخلص: |
Since the color probability distribution based continuous adaptive mean shift (CAMShift) face tracking algorithm is simple and easy to be implemented, it is widely used in real-time tracking applications. However, because the CAMShift takes skin color histogram as the tracking model, its tracking is easy to fail when the target appears in a skin-color-like background region. For that, a CAMShift face tracking algorithm using adaptive Multi-Block Local Binary Pattern ( MB-LBP) pre-filter is proposed in this paper. Firstly, a MB-LBP cascade classifier, which can well detect the basic characteristics of the face, is trained. If the tracking window enters a skin-color like background region, this pre-filter is then adaptively inserted to eliminate the skin-like-color background interferences. Consequently, the robustness of the tracking algorithm is improved. Experimental results have proved the superior tracking ability of the proposed algorithm under skin-color-like background interferences. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
