A Survey on Correlation Filters for Object Detection |
Author(s): |
| Disha Davis , IES College of Engineering,Chittilappilly,Thrissur Dt.,Kerala; Nicy Johnson, IES College of Engineering,Chittilappilly,Thrissur Dt.,Kerala |
Keywords: |
| Object Detection, Correlation Filters, Feature Extraction, Classifiers |
Abstract |
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Object detection is a sequence of segments comprises the objects of interest, which are taken as preprocessing and expansively applied in various vision tasks like face detection, face recognition, video object co-segmentation. Out of these, Correlation ï¬lters are the special classiï¬ers which are designed for accurate object detection. Normal correlation ï¬lters require scalar valued image features and only perform on objects with consistent appearance but newer ï¬lters work with feature spaces that establish some invariance to small deformations. However, most of existing approaches only utilizes the proposals to compute the location; the aim is to propose a fastest algorithm for making the object detection as an efficient task. This paper accentuates correlation techniques and feature extraction methods used by researchers for object detection. |
Other Details |
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Paper ID: IJSRDV7I10026 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 102-104 |
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