Adaptive Self-Occlusion Behavior Recognition Based on pLSA
Human action recognition is an important area of human action recognition research. Focusing on the problem of self-occlusion in the field of human action recognition, a new adaptive occlusion state behavior recognition approach was presented based on Markov random field and probabilistic Latent Sem...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2013/506752 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558515084853248 |
|---|---|
| author | Hong-bin Tu Li-min Xia Lun-zheng Tan |
| author_facet | Hong-bin Tu Li-min Xia Lun-zheng Tan |
| author_sort | Hong-bin Tu |
| collection | DOAJ |
| description | Human action recognition is an important area of human action recognition research. Focusing on the problem of self-occlusion in the field of human action recognition, a new adaptive occlusion state behavior recognition approach was presented based on Markov random field and probabilistic Latent Semantic Analysis (pLSA). Firstly, the Markov random field was used to represent the occlusion relationship between human body parts in terms an occlusion state variable by phase space obtained. Then, we proposed a hierarchical area variety model. Finally, we use the topic model of pLSA to recognize the human behavior. Experiments were performed on the KTH, Weizmann, and Humaneva dataset to test and evaluate the proposed method. The compared experiment results showed that what the proposed method can achieve was more effective than the compared methods. |
| format | Article |
| id | doaj-art-3da73f41bcc94599b517e5c2ca6ef45e |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-3da73f41bcc94599b517e5c2ca6ef45e2025-02-03T01:32:12ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/506752506752Adaptive Self-Occlusion Behavior Recognition Based on pLSAHong-bin Tu0Li-min Xia1Lun-zheng Tan2School of Information Science and Engineering, Central South University, ChangSha, HuNan 410075, ChinaSchool of Information Science and Engineering, Central South University, ChangSha, HuNan 410075, ChinaSchool of Information Science and Engineering, Central South University, ChangSha, HuNan 410075, ChinaHuman action recognition is an important area of human action recognition research. Focusing on the problem of self-occlusion in the field of human action recognition, a new adaptive occlusion state behavior recognition approach was presented based on Markov random field and probabilistic Latent Semantic Analysis (pLSA). Firstly, the Markov random field was used to represent the occlusion relationship between human body parts in terms an occlusion state variable by phase space obtained. Then, we proposed a hierarchical area variety model. Finally, we use the topic model of pLSA to recognize the human behavior. Experiments were performed on the KTH, Weizmann, and Humaneva dataset to test and evaluate the proposed method. The compared experiment results showed that what the proposed method can achieve was more effective than the compared methods.http://dx.doi.org/10.1155/2013/506752 |
| spellingShingle | Hong-bin Tu Li-min Xia Lun-zheng Tan Adaptive Self-Occlusion Behavior Recognition Based on pLSA Journal of Applied Mathematics |
| title | Adaptive Self-Occlusion Behavior Recognition Based on pLSA |
| title_full | Adaptive Self-Occlusion Behavior Recognition Based on pLSA |
| title_fullStr | Adaptive Self-Occlusion Behavior Recognition Based on pLSA |
| title_full_unstemmed | Adaptive Self-Occlusion Behavior Recognition Based on pLSA |
| title_short | Adaptive Self-Occlusion Behavior Recognition Based on pLSA |
| title_sort | adaptive self occlusion behavior recognition based on plsa |
| url | http://dx.doi.org/10.1155/2013/506752 |
| work_keys_str_mv | AT hongbintu adaptiveselfocclusionbehaviorrecognitionbasedonplsa AT liminxia adaptiveselfocclusionbehaviorrecognitionbasedonplsa AT lunzhengtan adaptiveselfocclusionbehaviorrecognitionbasedonplsa |