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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jisu Kim Sungjun Hong Jeonghyun Baek Euntai Kim Heejin Lee |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electrical and Electronic Engineering, Yonsei University, Seoul, 120-749, Korea (Jisu Kim; Sungjun Hong; Jeonghyun Baek; Euntai Kim) || Information & Control Engineering, Hankyong National University, Anseong, 456-749, Korea (Heejin Lee) |
| Abstract | This paper presents a vision-based vehicle detection system in the infrared (IR) and vision system using an effective feature extraction and algorithm. This system follows two steps: Hypothesis Generation (HG) method and Hypothesis Verification (HV) method. In HG method, vertical and horizontal edges are used. To extract these edges effectively a neighborhood gradient prediction(NGP) edge detection is used. With these extracted edges, the vehicle location candidates are generated. This step reduces the computational time in comparison with exhaustive search method. In HV method, the effective feature extraction such as HOG and GABOR feature are used. A support vector machine (SVM) for classification is also used. This step verifies if the vehicle candidates are vehicle or not. The test image is obtained by a monocular IR camera and visible camera attached on moving vehicle. In vision image, NGP method is compared with SOBEL method. In IR image, HOG feature is compared with GABOR feature. |
| Starting Page | 630 |
| Ending Page | 634 |
| File Size | 1761133 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467322478 |
| e-ISBN | 9788993215045 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-10-17 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | ICROS |
| Subject Keyword | Support vector machines NGP edge detection vehicle detection support vector machine Image edge detection Vehicle detection Feature extraction Cameras histogram of oriented gradient Gabor feature Mercury (metals) Vehicles |
| Content Type | Text |
| Resource Type | Article |
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