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학술지 Personal Driving Diary: Automated Recognition of Driving Events from First-Person Videos
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저자
유상원, 최성록, 정지훈, 이재영, 유원필
발행일
201310
출처
Computer Vision and Image Understanding, v.117 no.10, pp.1299-1312
ISSN
1077-3142
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.cviu.2013.01.004
협약과제
12MC2200, 실외환경에 강인한 도로기반 저가형 자율주행 기술 개발, 유원필
초록
In this paper, we introduce the concept of personal driving diary. A personal driving diary is a multimedia archive of a person's daily driving experience, describing important driving events of the user with annotated videos. This paper presents an automated system that constructs such multimedia diary by analyzing videos obtained from a vehicle-mounted camera. The proposed system recognizes important interactions between the driving vehicle and the other actors in videos (e.g., accident, overtaking, etc.), and labels them together with its contextual knowledge on the vehicle (e.g., mean velocity) to construct an event log. A decision tree based activity recognizer is designed, detecting driving events of vehicles and pedestrians from the first-person view videos by analyzing their trajectories and spatio-temporal relationships. The constructed diary enables efficient searching and event-based browsing of video clips, which helps the users when retrieving videos of dangerous situations. Our experiment confirms that the proposed system reliably generates driving diaries by annotating the vehicle events learned from training examples. © 2013 Elsevier Inc. All rights reserved.
키워드
Driving activity recognition, First-person event detection, Lifelogging, Personal driving diary
KSP 제안 키워드
Activity Recognition, Decision Tree(DT), Driving experience, Event detection, Event log, Event-Based, First-person view, Mean velocity, Training examples, Tree-based, Vehicle-mounted