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Conference Paper
Rear Object Detection Method Based on Optical Flow and Vehicle Information for Moving Vehicle
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- Authors
- Yun-Won Choi, Yun-Su Chung, Soo-In Lee, Suk-Gyu Lee
- Issue Date
- 2017-07
- Citation
- International Conference on Ubiquitous and Future Networks (ICUFN) 2017, pp.203-205
- Language
- English
- Type
- Conference Paper
- Project Code
- 16ZC3300, Advanced Development of Fusion-Platform and Local Parts Maker Support Project for Context-aware Smart Vehicle, Mi-Ryong Park
- Abstract
- This paper proposes a method to detect rear object using vehicle information and optical flow in moving vehicles. The previous method detects objects by method using optical flow, background removal, and frame difference in the stopped vehicle state. In particular, optical flow method uses analysis of background or flow distribution to remove the background flow. In this paper, however, objects detect in moving vehicles by removing the background flow generated by vehicle movement using vehicle information. The performance of the proposed algorithm evaluated through experiments using stored images and vehicle information obtained from actual moving vehicles.
- KSP Keywords
- Detection Method, Frame Difference, Moving Vehicle, Object detection, Optical flow method, Vehicle state, background removal, flow distribution, vehicle movement