상세정보
학술대회
Background-Aware Pedestrian/Vehicle Detection System for Driving Environments
- 발행일
- 201110
- 출처
- International Conference on Intelligent Transportation Systems (ITSC) 2011, pp.1331-1336
- 협약과제
- 11MC3200, 실외환경에 강인한 도로 기반 저가형 자율주행기술 개발, 유원필
- 초록
- In this paper, we introduce the new approach to enhance the reliability of detection of objects in a driving environment (e.g. pedestrian and vehicle). We present the method of filtering out false positive detections while maintaining true positive detections. Our approach considers that if we remove a certain region from an image taken from a vehicle in a driving environment, the inpainting algorithm is able to restore the removed region based on its surroundings when it does not include objects. Previous inpainting algorithms were used for restoration of damaged paintings, and we expand its usage to confirm whether the detection result includes the real object or not. Furthermore, we introduce a simple but effective speedup method for the sliding window using simple edge features of objects. Experimental results confirm that our approach is able to improve the accuracies of various pedestrian and vehicle detectors. We show the improved accuracy of pedestrian and vehicle detection in a driving environment with various detectors. © 2011 IEEE.
- KSP 제안 키워드
- Edge features, False positive, Improved Accuracy, Inpainting Algorithm, Intrusion detection system(IDS), New approach, Region-based, Sliding Window, True positive, Vehicle detection, driving environment