Research Article

A Survey on Approaches of Object Detection

by  Sanjivani Shantaiya, Keshri Verma, Kamal Mehta
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Issue 18
Published: March 2013
Authors: Sanjivani Shantaiya, Keshri Verma, Kamal Mehta
10.5120/11023-5140
PDF

Sanjivani Shantaiya, Keshri Verma, Kamal Mehta . A Survey on Approaches of Object Detection. International Journal of Computer Applications. 65, 18 (March 2013), 14-20. DOI=10.5120/11023-5140

                        @article{ 10.5120/11023-5140,
                        author  = { Sanjivani Shantaiya,Keshri Verma,Kamal Mehta },
                        title   = { A Survey on Approaches of Object Detection },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 65 },
                        number  = { 18 },
                        pages   = { 14-20 },
                        doi     = { 10.5120/11023-5140 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Sanjivani Shantaiya
                        %A Keshri Verma
                        %A Kamal Mehta
                        %T A Survey on Approaches of Object Detection%T 
                        %J International Journal of Computer Applications
                        %V 65
                        %N 18
                        %P 14-20
                        %R 10.5120/11023-5140
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This research paper presents the extensive survey of the state-of-the-art detection of object from video and also classifies the detection approaches into different categories. Detection is generally performed in the context of higher-level applications that require the location and/or shape of the object in every frame. As the detection of objects from vide have progressed significantly in the past few years; human motion and behavior interpretation have naturally become the upcoming step. The research paper includes various approaches that have been used by different researchers for object detection.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Object detection motion recognition tracking

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