A frame selection and preprocessing based system aiming to improve face recognition rate in videos
Topkaya, İbrahim Saygın and Bayazıt, Nilgün Güler (2009) A frame selection and preprocessing based system aiming to improve face recognition rate in videos. In: IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Turkey
Full text not available from this repository.
In this work, a method for selecting a subset of frames in a video is proposed, aiming to improve face recognition success rate from the video while using less number of frames. The method's goal is to select frames according to some proposed criteria which is based on positions of the facial features on frame. Positively selected frames are preprocessed with some simple image processing and dimension reduction steps and acquired data is used in a multi-class classifier. Finally, experiments done on whole set of faces and set of faces selected and preprocessed with the proposed method are presented and comparitive results are given.
Repository Staff Only: item control page