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RISS 인기검색어
- 검색키워드
- 저자 : Jiyeoup Jeong (검색결과 2 건)
- 무료
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이병주(ByeongJu Lee),정지엽(Jiyeoup Jeong),최현준(Hyun Jun Choi),최진영(Jin Young Choi) 대한전자공학회 2018 대한전자공학회 학술대회 Vol.2018 No.6
This paper proposes an assistance system for autonomous vehicle which detects and tracks moving objects around the vehicle. A semantic segmentation network classifies objects and background, and makes a panorama-based motion detection algorithm suitable for autonomous driving environment. By fusing results of object detection and visual tracking, a final localization result of each object can be determined with spatio-temporal information. Through experiments, we show that the proposed method improve baseline algorithm, both of detection and tracking.
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High-speed High-performance Visual Tracker via Correlation Filter with Compressed Deep Feature
Jongwon Choi,Kyuewang Lee,Jiyeoup Jeong,Jin Young Choi 제어로봇시스템학회 2018 제어로봇시스템학회 국제학술대회 논문집 Vol.2018 No.10
This paper introduces a context-aware correlation filter based tracker to achieve both high speed and high performance. We achieve high speed via deep feature compression based on a context-aware scheme utilizing multiple expert auto-encoders. To achieve high performance with the compressed feature map, we introduce extrinsic denoising processes and a new orthogonality loss term for pre-training and fine-tuning of the expert auto-encoders. In experiments, the proposed tracker is verified to achieve a comparable performance to state-of-the-art with running at over 100 fps.
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