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failure Detection and correction for Appearance Based Facial Tracking

Chinese Journal of Electronics 2015年第1期24卷 20-25页

作者： WANG Lei LIANG Yixiong CAI Wangyang ZOU Beiji Xiangya Hospital Central South University School of Information Science & Engineering Central South University School of Computer & Communication Engineering Changsha University of Science & Technology

The appearance based facial tracking methods, such as active appearance models and candide models, are widely used in intelligent user interface and facial expression recognition. This paper proposes a novel method to detect and correct the failures in appearance based facial tracking. A sparse coding strategy is applied to learn an efficient feature representation for the difference between the warped image and the face template. The features are extracted by directly pro ject the difference image to the space spanned by the dictionary of the sparse coding. An iterative regression based method is proposed to detect and correct the failures according to the features. Experimental evaluation on an open dataset shows a global performance improvement of the tracking algorithm.

关键词： Facial tracking failure detection failure correction Sparse coding.

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correction of array failure using grey wolf optimizer hybridized with an interior point algorithm

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Frontiers of Information Technology & Electronic Engineering 2018年第9期19卷 1191-1202页

作者： Shafqat Ullah KHAN M.K.A.RAHIM Liaqat ALI Advanced RF ＆ Microwave Research Group Department of Communication EngineeringFaculty of Electrical EngineeringUniversiti Teknologi Malaysi Department of Electrical Engineering University of Science and Technology Bann

We design a grey wolf optimizer hybridized with an interior point algorithm to correct a faulty antenna array. If a single sensor fails, the radiation power pattern of the entire array is disturbed in terms of sidelobe level（SLL） and null depth level（NDL）, and nulls are damaged and shifted from their original locations. All these issues can be solved by designing a new fitness function to reduce the error between the preferred and expected radiation power patterns and the null limitations. The hybrid algorithm has been designed to control the array＇s faulty radiation power pattern. Antenna arrays composed of 21 sensors are used in an example simulation scenario. The MATLAB simulation results confirm the good performance of the proposed method, compared with the existing methods in terms of SLL and NDL.

关键词： failure correction Grey wolf optimizer Interior point algorithm Sidelobes Deeper null depth level

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