Occlusion Detection and Handling: A Review
| Autor: | Sonia Vatta, Himanshu Chandel |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Operations research
Computer science business.industry media_common.quotation_subject Visibility (geometry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Illusion Object (computer science) Occlusion detection GeneralLiterature_MISCELLANEOUS Object detection Field (computer science) Video tracking Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS media_common |
| Zdroj: | International Journal of Computer Applications. 120:33-38 |
| ISSN: | 0975-8887 |
| DOI: | 10.5120/21264-3857 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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