Face detection and feature points location and tracking in video sequence

Xiaowe Zhang; Wenjun Zhang

doi:10.1117/12.2031771

19 July 2013 Face detection and feature points location and tracking in video sequence

Xiaowe Zhang, Wenjun Zhang

Proceedings Volume 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013); 88782E (2013) https://doi.org/10.1117/12.2031771
Event: Fifth International Conference on Digital Image Processing, 2013, Beijing, China

Abstract

In the basic study and analysis of the human face detection and feature point location and tracking algorithm in video sequence, this paper proposes a method that first to determine the like-face area in the video frame with local SMQT characteristics; then positioning the detected human face feature point with the modified ASM, which is improved by changing the 1D texture model which is easier to fall into minimum to 2D texture model; finally, grouping feature points based on their characteristics, tracking them by using optical flow method, elastic graph matching, and binary respectively. This method was tested to show good positioning of facial features based on fast detection, and gain well tracking results.

Citation Download Citation

Xiaowe Zhang and Wenjun Zhang "Face detection and feature points location and tracking in video sequence", Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782E (19 July 2013); https://doi.org/10.1117/12.2031771

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KEYWORDS

Facial recognition systems

Video

Optical flow

Optical tracking

Video surveillance

Binary data

Model-based design

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