![](/images/graphics-bg.png)
Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This work presents the fusion of integral channel features to improve the effectiveness and efficiency of pedestrian detection.
The proposed method combines the histogram of oriented gradient (HOG) and local binary pattern (LBP) features by a concatenated fusion method.
Although neural network (NN) is an efficient tool for classification, the time complexity is heavy.
Hence, we choose support vector machine (SVM) with the histogram intersection kernel (HIK) as a classifier.
On the other hand, although many datasets have been collected for pedestrian detection, few are designed to detect pedestrians in low-resolution visual images and at night time.
This work collects two new pedestrian datasets—one for low-resolution visual images and one for near-infrared images—to evaluate detection performance on various image types and at different times.
The proposed fusion method uses only images from the INRIA dataset for training but works on the two newly collected datasets, thereby avoiding the training overhead for cross-datasets.
The experimental results verify that the proposed method has high detection accuracies even in the variations of image types and time slots.
American Psychological Association (APA)
Su, Song-Zhi& Chen, Shu-Yuan. 2013. Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-472096
Modern Language Association (MLA)
Su, Song-Zhi& Chen, Shu-Yuan. Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection. Abstract and Applied Analysis No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-472096
American Medical Association (AMA)
Su, Song-Zhi& Chen, Shu-Yuan. Analysis of Feature Fusion Based on HIK SVM and Its Application for Pedestrian Detection. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-472096
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472096