Research Article

Occlusion Detection and Handling: A Review

by  Himanshu Chandel, Sonia Vatta
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Issue 10
Published: June 2015
Authors: Himanshu Chandel, Sonia Vatta
10.5120/21264-3857
PDF

Himanshu Chandel, Sonia Vatta . Occlusion Detection and Handling: A Review. International Journal of Computer Applications. 120, 10 (June 2015), 33-38. DOI=10.5120/21264-3857

                        @article{ 10.5120/21264-3857,
                        author  = { Himanshu Chandel,Sonia Vatta },
                        title   = { Occlusion Detection and Handling: A Review },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 120 },
                        number  = { 10 },
                        pages   = { 33-38 },
                        doi     = { 10.5120/21264-3857 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Himanshu Chandel
                        %A Sonia Vatta
                        %T Occlusion Detection and Handling: A Review%T 
                        %J International Journal of Computer Applications
                        %V 120
                        %N 10
                        %P 33-38
                        %R 10.5120/21264-3857
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Object tracking and detection is a classical research area in the field of computer vision from decades. Numerous kinds of applications are dependent on the area of object detection, such as advance driving assistance system, traffic surveillance, scene understanding, autonomous navigation etc. Many challenges still exist while detecting an object such as illusion, low visibility, cast shadows and most importantly occlusions of object. Occlusions occur under two categories, firstly its, self?occlusion which means that, from a certain viewpoint, one part of an object is occluded by another part. Secondly, its inter-object occlusion which means when two objects being tracked occlude each other. We will review various occlusion handling methods that involved single and multiple cameras according to their application. In short, the objective of this paper is to deliberate in detail the problem of occlusion in object tracking and provide a concise review for the problem of occlusion handling under different categories and identify new trends.

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

Occlusion tracking scene vision unmanned car.

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