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
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.7 No.2
- 발행연도
- 2018.4
- 수록면
- 132 - 139 (8page)
- DOI
- 10.5573/IEIESPC.2018.7.2.132
이용수
초록· 키워드
오류제보하기
Understanding human action has become a popular issue in artificial intelligence. To address this, we propose combining a Bayesian hidden Markov model (HMM) with a continuous Gaussian-Wishart emission model. First, we define the HMM with the Gaussian-Wishart emission mixture model to express a sequence of continuous observation feature vectors from a human action video. Second, we use an approximated variational Bayesian inference to derive posterior distributions for hidden variables and parameters required to define the proposed model. Third, we derive the approximated predictive distribution for an observation sequence that can be used to represent a new action, and then, we compute a likelihood function that indicates the probability that the new observation sequence belongs to each class using the approximated predictive distribution. Fourth, we classify the new action into a human action category that maximizes the likelihood function value. Finally, to evaluate the performance of the proposed method, we conduct human action classification using a KTH human action dataset. The experimental results show that the recognition rate with our method is in the middle position among various existing methods.
목차
Abstract
1. Introduction
2. Bayesian HMM with Gaussian-Wishart Emission Mixture Model
3. Variational Bayesian Inference
4. Human Action Recognition
5. Conclusion
References
참고문헌 (21)
참고문헌 신청
[학술지(정기간행물)] - M. B. Holte / 2012 / Human Pose Estimation and Activity Recognition From Multi-View Videos: Comparative Explorations of Recent Developments / IEEE Journal of selected topics in signal processing 6 (5) : 538 ~ 552
[학술지(정기간행물)] - X. Xu / 2013 / Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems and Evaluation / Sensors 13 : 1635 ~ 1650
[학술대회논문] - G. Cheng / 2015 / Advances in Human Action Recognition: A Survey / Proceeding of Computer Vision and Pattern Recognition
[학술대회논문] - J. Yin / 2010 / Human Activity Recognition in Video using a Hierarchical Probabilistic Latent Model / Computer Vision and Pattern Recognition Workshop (CVPRW)
[학술지(정기간행물)] - Y. Tian / 2011 / Hierarchical Filtered Motion for Action Recognition in Crowded Videos / IEEE Trans. On System, Man, and Cybernectics, Part C: Applications and Reviews 3 (2) : 1 ~ 11
[학술지(정기간행물)] - X. Xu / 2013 / Exploring Techniques for Vision Based Human Activity Recognition: Methods, Systems and Evaluation / Sensors 13 : 1635 ~ 1650
[학술대회논문] - G. Cheng / 2015 / Advances in Human Action Recognition: A Survey / Proceeding of Computer Vision and Pattern Recognition
[학술대회논문] - J. Yin / 2010 / Human Activity Recognition in Video using a Hierarchical Probabilistic Latent Model / Computer Vision and Pattern Recognition Workshop (CVPRW)
[학술지(정기간행물)] - Y. Tian / 2011 / Hierarchical Filtered Motion for Action Recognition in Crowded Videos / IEEE Trans. On System, Man, and Cybernectics, Part C: Applications and Reviews 3 (2) : 1 ~ 11
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UCI(KEPA) : I410-ECN-0101-2018-569-002044341