Autonomous vehicle detection system using visible and infrared camera

Jisu Kim, Sungjun Hong, Jeonghyun Baek, Euntai Kim, Heejin Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems
Pages630-634
Number of pages5
Publication statusPublished - 2012 Dec 1
Event2012 12th International Conference on Control, Automation and Systems, ICCAS 2012 - Jeju, Korea, Republic of
Duration: 2012 Oct 172012 Oct 21

Other

Other2012 12th International Conference on Control, Automation and Systems, ICCAS 2012
CountryKorea, Republic of
CityJeju
Period12/10/1712/10/21

Fingerprint

Cameras
Infrared radiation
Feature extraction
Edge detection
Support vector machines

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, J., Hong, S., Baek, J., Kim, E., & Lee, H. (2012). Autonomous vehicle detection system using visible and infrared camera. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems (pp. 630-634). [6393259]
Kim, Jisu ; Hong, Sungjun ; Baek, Jeonghyun ; Kim, Euntai ; Lee, Heejin. / Autonomous vehicle detection system using visible and infrared camera. ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. pp. 630-634
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Kim, J, Hong, S, Baek, J, Kim, E & Lee, H 2012, Autonomous vehicle detection system using visible and infrared camera. in ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems., 6393259, pp. 630-634, 2012 12th International Conference on Control, Automation and Systems, ICCAS 2012, Jeju, Korea, Republic of, 12/10/17.

Autonomous vehicle detection system using visible and infrared camera. / Kim, Jisu; Hong, Sungjun; Baek, Jeonghyun; Kim, Euntai; Lee, Heejin.

ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. p. 630-634 6393259.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Kim J, Hong S, Baek J, Kim E, Lee H. Autonomous vehicle detection system using visible and infrared camera. In ICCAS 2012 - 2012 12th International Conference on Control, Automation and Systems. 2012. p. 630-634. 6393259