Rear object detection method based on optical flow and vehicle information for moving vehicle
| Autor: | Suk-Gyu Lee, Soo-In Lee, Yun-Won Choi, Yun-Su Chung |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Frame difference Flow distribution business.industry Computer science 05 social sciences Optical flow 010501 environmental sciences Object (computer science) 01 natural sciences Object detection 0502 economics and business Computer vision Artificial intelligence State (computer science) business Moving vehicle Background flow 0105 earth and related environmental sciences |
| Zdroj: | ICUFN |
| DOI: | 10.1109/icufn.2017.7993776 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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