지원사업
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
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.2
- 발행연도
- 2014.3
- 수록면
- 739 - 748 (10page)
이용수
초록· 키워드
오류제보하기
In this paper, we propose pyramid appearance and global structure action descriptors on both RGB and depth motion history images and a model-free method for human action recognition. In proposed algorithm, we firstly construct motion history image for both RGB and depth channels, at the same time, depth information is employed to filter RGB information, after that, different action descriptors are extracted from depth and RGB MHIs to represent these actions, and then multimodality information collaborative representation and recognition model, in which multi-modality information are put into object function naturally, and information fusion and action recognition also be done together, is proposed to classify human actions. To demonstrate the superiority of the proposed method, we evaluate it on MSR Action3D and DHA datasets, the well-known dataset for human action recognition. Large scale experiment shows our descriptors are robust, stable and efficient, when comparing with the-state-of-the-art algorithms, the performances of our descriptors are better than that of them, further, the performance of combined descriptors is much better than just using sole descriptor. What is more, our proposed model outperforms the state-of-the-art methods on both MSR Action3D and DHA datasets.
목차
Abstract
1. Introduction
2. Related Work
3. Low Level Multi-modality Human Action Representation
4. Multi-modality Information Collaborative Representation and Recognition Model
5. Experimental Evaluation and Analysis
6. Conclusions
References
참고문헌 (32)
참고문헌 신청
1. [학술지(정기간행물)] - A. Bobick / 2001 / The representation and recognition of action using temporal templates / IEEE Transactions on Pattern Analysis and Machine Intelligence 23 (3) : 257 ~ 267
2. [학술지(정기간행물)] - L. Gorelick / 2007 / Actions as space-time shapes / PAMI 29 (12) : 2247 ~ 2253
3. [학술대회논문] - P. Dollar / 2005 / Behavior recognition via sparse spatio-temporal features / IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance : 65 ~ 72
4. [학술지(정기간행물)] - Schuldt / 2004 / Recognizing human actions: a local SVM approach / ICPR (17) : 32 ~ 36
5. [학술대회논문] - I. Laptev / 2003 / Space-time interest points / ICCV : 432 ~ 439
2. [학술지(정기간행물)] - L. Gorelick / 2007 / Actions as space-time shapes / PAMI 29 (12) : 2247 ~ 2253
3. [학술대회논문] - P. Dollar / 2005 / Behavior recognition via sparse spatio-temporal features / IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance : 65 ~ 72
4. [학술지(정기간행물)] - Schuldt / 2004 / Recognizing human actions: a local SVM approach / ICPR (17) : 32 ~ 36
5. [학술대회논문] - I. Laptev / 2003 / Space-time interest points / ICCV : 432 ~ 439
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UCI(KEPA) : I410-ECN-0101-2015-500-001097521