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Content Provider | IEEE Xplore Digital Library |
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Author | Yue Qi Guo-Chang Huang Yun-Hong Wang |
Copyright Year | 2007 |
Description | Author affiliation: Beihang Univ., Beijing (Yue Qi; Guo-Chang Huang; Yun-Hong Wang) |
Abstract | In this paper, we propose a method to examine whether a walking person is carrying objects using the width of human body contour. First we concentrate on the detection of the moving people contour and then human contour width is projected to the feature space for training a classifier. We introduce principal component analysis for dimension reduction and support vector machine to classify the carrying object status. If the status is true, the carrying object region is figured out by analyzing human contour shape. We utilize the outmost vertex from human contour to track the carrying object such as a rucksack or luggage. The experimental results demonstrate that our approach is encouraging. |
Starting Page | 1237 |
Ending Page | 1240 |
File Size | 303417 |
Page Count | 4 |
File Format | |
ISBN | 9781424410651 |
DOI | 10.1109/ICWAPR.2007.4421623 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2007-11-02 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Legged locomotion body main axis Filtering Support Vector Video sequences Humans Wavelet analysis Pattern recognition Machine Support vector machines Carrying status Object detection Feature extraction Principal component analysis |
Content Type | Text |
Resource Type | Article |
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