Foreground algorithms for detection and extraction of an object in multimedia

Title

Foreground algorithms for detection and extraction of an object in multimedia

Creator

Rekha V.; Natarajan K.

Description

Background Subtraction of a foreground object in multimedia is one of the major preprocessing steps involved in many vision-based applications. The main logic for detecting moving objects from the video is difference of the current frame and a reference frame which is called "background image" and this method is known as frame differencing method. Background Subtraction is widely used for real-time motion gesture recognition to be used in gesture enabled items like vehicles or automated gadgets. It is also used in content-based video coding, traffic monitoring, object tracking, digital forensics and human-computer interaction. Now-a-days due to advent in technology it is noticed that most of the conferences, meetings and interviews are done on video calls. It's quite obvious that a conference room like atmosphere is not always readily available at any point of time. To eradicate this issue, an efficient algorithm for foreground extraction in a multimedia on video calls is very much needed. This paper is not to just build Background Subtraction application for Mobile Platform but to optimize the existing OpenCV algorithm to work on limited resources on mobile platform without reducing the performance. In this paper, comparison of various foreground detection, extraction and feature detection algorithms are done on mobile platform using OpenCV. The set of experiments were conducted to appraise the efficiency of each algorithm over the other. The overall performances of these algorithms were compared on the basis of execution time, resolution and resources required. 2020 Institute of Advanced Engineering and Science.

Source

International Journal of Electrical and Computer Engineering, Vol-10, No. 2, pp. 1849-1858.

Date

2020-01-01

Publisher

Institute of Advanced Engineering and Science

Subject

Background subtraction; Contours; Foreground subtraction; Grab cut; Haar-cascade; HOG; Image segmentation; Static background; Vab cut; Watershed

Coverage

Rekha V., Department of Computer Science and Engineering, Faculty of Engineering, Christ (Deemed to Be University), India; Natarajan K., Department of Computer Science and Engineering, Faculty of Engineering, Christ (Deemed to Be University), India

Rights

All Open Access; Gold Open Access; Green Open Access

Relation

ISSN: 20888708

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.11591/ijece.v10i2.pp1849-1858

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