Detection of faces from video files with different file formats

Title

Detection of faces from video files with different file formats

Creator

Dutta P.; Nachamai M.

Description

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. 2016 IEEE.

Source

International Conference on Microelectronics, Computing and Communication, MicroCom 2016

Date

2016-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

face detection; object recognition; pattern recognition; stored video database

Coverage

Dutta P., Department of Computer Science, Christ University, Bengaluru, India; Nachamai M., Department of Computer Science, Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-146736621-2

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/MicroCom.2016.7522448

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983554951&doi=10.1109%2fMicroCom.2016.7522448&partnerID=40&md5=d92f769c7db61bf1d5e4fe433eb57f5c