논문 국내 국제전문학술지(SCI급) 행동 인식을 위한 시공간 앙상블 기법
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2020-11
- 저자명 최동걸,서민석,이상우
- 학술지명 로봇학회 논문지
- 발행처명 한국로봇학회
- 발행국가 국내
- 논문언어 외국어
- 전체저자수 3
홈페이지논문 초록 (Abstract)
As deep learning technology has been developed and applied to various fields, it is gradually changing from an existing single image based application to a video based application having a time base in order to recognize human behavior. However, unlike 2D CNN in a single image, 3D CNN in a video has a very high amount of computation and parameter increase due to the addition of a time axis, so improving accuracy in action recognition technology is more difficult than in a single image. To solve this problem, we investigate and analyze various techniques to improve performance in 3D CNN-based image recognition without additional training time and parameter increase. We propose a time base ensemble using the time axis that exists only in the videos and an ensemble in the input frame. We have achieved an accuracy improvement of up to 7.1% compared to the existing performance with a combination of techniques. It also revealed the trade-off relationship between computational and accuracy.