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Detection of faces from video files with different file formats

机译:检测具有不同文件格式的视频文件的面孔

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Face detection is the primary approach of all fundamental problems of human computer interaction system (HCIS). This paper evaluates the performance of detection system on single face from stored videos that are stored in different file formats. Stored videos contain raw homemade datasets as well as ready-made datasets. This proposed work concludes detection percentage of face detection system in different video formats. The implementation is done in two phases. The raw homemade dataset is tested on .3gp, .avi, .mov,.mp4 and a ready-made dataset is tested on .wmv, .m4v, .asf, .mpg file formats. The coding part for face detection has been done in MATLAB R2013a. The detection of faces from video file was 72.79 % for homemade dataset and 82.78% for ready-made dataset.
机译:面部检测是人机交互系统(HCIS)所有基本问题的主要方法。本文评估了从存储视频中存储的视频中的检测系统的性能。存储的视频包含原始的自制数据集以及现成的数据集。该拟议的工作总结了不同视频格式的面部检测系统的检测百分比。实施是分两个阶段完成的。 RAW自制数据集在.3GP,.avi,.mov,.mp4和现成的数据集上测试,在.wmv,.m4v,.asf,.mpg文件格式测试。在MATLAB R2013A中已经完成了面部检测的编码部分。自制数据集中的视频文件的面孔的检测为72.79%,而现成数据集的82.78%。

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