CASIA OpenIR  > 类脑智能研究中心
Incremental Learning for Video-Based Gait Recognition With LBP Flow
Maodi Hu; Yunhong Wang; Zhaoxiang Zhang; De Zhang; Little, James J
AbstractGait analysis provides a feasible approach for identification in intelligent video surveillance. However, the effectiveness of the dominant silhouette-based approaches is overly dependent upon background subtraction. In this paper, we propose a novel incremental framework based on optical flow, including dynamics learning, pattern retrieval, and recognition. It can greatly improve the usability of gait traits in video surveillance applications. Local binary pattern (LBP) is employed to describe the texture information of optical flow. This representation is called LBP flow, which performs well as a static representation of gait movement. Dynamics within and among gait stances becomes the key consideration for multiframe detection and tracking, which is quite different from existing approaches. To simulate the natural way of knowledge acquisition, an individual hidden Markov model (HMM) representing the gait dynamics of a single subject incrementally evolves from a population model that reflects the average motion process of human gait. It is beneficial for both tracking and recognition and makes the training process of the HMM more robust to noise. Extensive experiments on widely adopted databases have been carried out to show that our proposed approach achieves excellent performance.
KeywordLocal Binary Pattern (Lbp) Flow Gait Recognition Incremental Learning Individual Hidden Markov Model (Hmm) (iHmm)
Document Type期刊论文
Corresponding AuthorZhaoxiang Zhang
Recommended Citation
GB/T 7714
Maodi Hu,Yunhong Wang,Zhaoxiang Zhang,et al. Incremental Learning for Video-Based Gait Recognition With LBP Flow[J]. IEEE TRANSACTIONS ON CYBERNETICS,2012,43(1):77-89.
APA Maodi Hu,Yunhong Wang,Zhaoxiang Zhang,De Zhang,&Little, James J.(2012).Incremental Learning for Video-Based Gait Recognition With LBP Flow.IEEE TRANSACTIONS ON CYBERNETICS,43(1),77-89.
MLA Maodi Hu,et al."Incremental Learning for Video-Based Gait Recognition With LBP Flow".IEEE TRANSACTIONS ON CYBERNETICS 43.1(2012):77-89.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Maodi Hu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Maodi Hu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Maodi Hu]'s Articles
[Yunhong Wang]'s Articles
[Zhaoxiang Zhang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.