1. 基于 NTSS 和压缩感知的人脸跟踪算法.
- Author
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徐杰, 郭春赫, 孙超, and 邓湘奇
- Subjects
- *
TRACKING algorithms , *COMPRESSED sensing , *STANDARDS , *SEARCH algorithms , *ALGORITHMS , *OBJECT tracking (Computer vision) - Abstract
This paper proposes a face tracking algorithm based on NTSS and compressed sensing. It uses different search radius and step double sampling, and uses NTSS search method as the target detection method. The algorithm is tested by the international standard face database AFW and MALF video sequences, and the central distance mean algorithm is used to compare the compressed sensing algorithm with the face tracking algorithm based on NTSS compressed sensing.The results are that the face tracking algorithm can reduce the error by 59. 01%. In addition, the NTSS compressed sensing face tracking algorithm has better robustness in face occlusion re-tracking, face geometric transformation and under dark conditions. [ABSTRACT FROM AUTHOR]
- Published
- 2019