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Automatic Pedestrian Removal Algorithm Using Multiple Frames  

Kim, ChangSeong (전북대학교 컴퓨터공학과)
Lee, DongSuk (전북대학교 전자공학과)
Park, Dong Sun (전북대학교 IT융합연구센터)
Publication Information
Smart Media Journal / v.4, no.2, 2015 , pp. 26-33 More about this Journal
Abstract
In this paper, we propose an efficient automatic pedestrian removal system from a frame in a video sequence. It firstly finds pedestrians from the frame using a Histogram of Oriented Gradient(HOG) / Linear-Support Vector Machine(L-SVM) classifier, searches for proper background patches, and then the patches are used to replace the deleted pedestrians. Background patches are retrieved from the reference video sequence and a modified feather blender algorithm is applied to make boundaries of replaced blocks look naturally. The proposed system, is designed to automatically detect object and generate natural-looking patches, while most existing systems provide search operation in manual. In the experiment, the average PSNR of the replaced blocks is 19.246
Keywords
Pedestrian Detection; Object Removal; Automatic;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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