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.11 No.6
- 발행연도
- 2016.11
- 수록면
- 1,857 - 1,862 (6page)
이용수
초록· 키워드
오류제보하기
Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject"s body parts rotation and body parts missing which provide major contributions in human activity recognition.
목차
Abstract
1. Introduction
2. System Architecture and Methodology
3. Experimental Results and Analysis
4. Conclusion
References
참고문헌 (39)
참고문헌 신청
[학술지(정기간행물)] - X. Sun / 2013 / Large-scale personalization human activity recognition using online multitask learning / IEEE Trans. on knowl. and data engine 25 (11) : 2551 ~ 2563
[학술대회논문] - A. Jalal / 2015 / Human daily activity recognition with joints plus body features representation using Kinect sensor / Proceedings of ICIEV Conference : 1 ~ 6
[학술지(정기간행물)] - A. Jalal / 2013 / Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart homes / Indoor and Built Environment 22 : 271 ~ 279
[학술대회논문] - A. Jalal / 2007 / Security architecture for third generation(3G)using GMHS cellular network / Proceedings of IEEE Conference on Emerging Technologies : 74 ~ 79
[학술대회논문] - A. Jalal / 2012 / Human activity recognition via the features of labeled depth body parts / Proceedings of ICOST Conference : 246 ~ 249
[학술대회논문] - A. Jalal / 2015 / Human daily activity recognition with joints plus body features representation using Kinect sensor / Proceedings of ICIEV Conference : 1 ~ 6
[학술지(정기간행물)] - A. Jalal / 2013 / Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart homes / Indoor and Built Environment 22 : 271 ~ 279
[학술대회논문] - A. Jalal / 2007 / Security architecture for third generation(3G)using GMHS cellular network / Proceedings of IEEE Conference on Emerging Technologies : 74 ~ 79
[학술대회논문] - A. Jalal / 2012 / Human activity recognition via the features of labeled depth body parts / Proceedings of ICOST Conference : 246 ~ 249
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UCI(KEPA) : I410-ECN-0101-2017-560-001327722