International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 65 - Issue 18 |
Published: March 2013 |
Authors: Sanjivani Shantaiya, Keshri Verma, Kamal Mehta |
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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
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.