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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.12
- 수록면
- 1,473 - 1,480 (8page)
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초록· 키워드
오류제보하기
The extraction and recognition of human motion characteristics need to combine biometrics to determine and judge human behavior in the movement and distinguish individual identities. The so-called biometric technology, the specific operation is the use of the body`s inherent biological characteristics of individual identity authentication, the most noteworthy feature is the invariance and uniqueness. In the past, the behavior recognition technology based on the single characteristic was too restrictive, in this paper, we proposed a mixed feature which combined global silhouette feature and local optical flow feature, and this combined representation was used for human action recognition. And we will use the KTH database to train and test the recognition system. Experiments have been very desirable results.
목차
ABSTRACT
1. INTRODUCTION
2. GLOBAL SILHOUETTE FEATURE REPRESENTATION AND EXTRACTION
3. LOCAL OPTICAL FLOW FEATURE REPRESENTATION AND EXTRACTION
4. EXPERIMENT ANALYSIS
5. CONCLUSION
REFERENCE
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