Abstract:
Human gait recognition has numerous challenges due to view angle changing, human dressing, bag carrying, and pedestrian walking speed, etc. In order to increase gait reco...Show MoreMetadata
Abstract:
Human gait recognition has numerous challenges due to view angle changing, human dressing, bag carrying, and pedestrian walking speed, etc. In order to increase gait recognition accuracy under these circumstances, in this paper we propose a method for gait recognition based on a self-adaptive hidden Markov model (SAHMM). First, we present a feature extraction algorithm based on local gait energy image (LGEI) and construct an observation vector set. By using this set, we optimize parameters of the SAHMM-based method for gait recognition. Finally, the proposed method is evaluated extensively based on the CASIA Dataset B for gait recognition under various conditions such as cross view, human dressing, or bag carrying, etc. Furthermore, the generalization ability of this method is verified based on the OU-ISIR Large Population Dataset. Both experimental results show that the proposed method exhibits superior performance in comparison with those existing methods.
Published in: IEEE/ACM Transactions on Computational Biology and Bioinformatics ( Volume: 18, Issue: 3, 01 May-June 2021)
Funding Agency:
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, China
Xiuhui Wang received the PhD degree in computer science and technology, State Key Laboratory of CAD&CG from Zhejiang University China, in 2007. From 2018 to 2019, he was an academic researcher with the Auckland University of Technology, Auckland, New Zealand. He is currently an associate professor with the China Jiliang University, Hangzhou, China. His research interests include computer vision, pattern recognition, and c...Show More
Xiuhui Wang received the PhD degree in computer science and technology, State Key Laboratory of CAD&CG from Zhejiang University China, in 2007. From 2018 to 2019, he was an academic researcher with the Auckland University of Technology, Auckland, New Zealand. He is currently an associate professor with the China Jiliang University, Hangzhou, China. His research interests include computer vision, pattern recognition, and c...View more
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, China
Shiling Feng is currently working toward the master’s degree in computer science and technology at the China Jiliang University. His research interests include computer vision and pattern recognition.
Shiling Feng is currently working toward the master’s degree in computer science and technology at the China Jiliang University. His research interests include computer vision and pattern recognition.View more
Auckland University of Technology, Auckland, New Zealand
Wei Qi Yan received the PhD degree in computer engineering from the Chinese Academy of Sciences, in 2001. He is currently an associate professor with the Auckland University of Technology, New Zealand. His research interests include intelligent surveillance, computer vision, pattern recognition, and computer graphics. He is a senior member of the IEEE.
Wei Qi Yan received the PhD degree in computer engineering from the Chinese Academy of Sciences, in 2001. He is currently an associate professor with the Auckland University of Technology, New Zealand. His research interests include intelligent surveillance, computer vision, pattern recognition, and computer graphics. He is a senior member of the IEEE.View more
Contents Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, China
Xiuhui Wang received the PhD degree in computer science and technology, State Key Laboratory of CAD&CG from Zhejiang University China, in 2007. From 2018 to 2019, he was an academic researcher with the Auckland University of Technology, Auckland, New Zealand. He is currently an associate professor with the China Jiliang University, Hangzhou, China. His research interests include computer vision, pattern recognition, and computer graphics.
Xiuhui Wang received the PhD degree in computer science and technology, State Key Laboratory of CAD&CG from Zhejiang University China, in 2007. From 2018 to 2019, he was an academic researcher with the Auckland University of Technology, Auckland, New Zealand. He is currently an associate professor with the China Jiliang University, Hangzhou, China. His research interests include computer vision, pattern recognition, and computer graphics.View more
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, China
Shiling Feng is currently working toward the master’s degree in computer science and technology at the China Jiliang University. His research interests include computer vision and pattern recognition.
Shiling Feng is currently working toward the master’s degree in computer science and technology at the China Jiliang University. His research interests include computer vision and pattern recognition.View more
Auckland University of Technology, Auckland, New Zealand
Wei Qi Yan received the PhD degree in computer engineering from the Chinese Academy of Sciences, in 2001. He is currently an associate professor with the Auckland University of Technology, New Zealand. His research interests include intelligent surveillance, computer vision, pattern recognition, and computer graphics. He is a senior member of the IEEE.
Wei Qi Yan received the PhD degree in computer engineering from the Chinese Academy of Sciences, in 2001. He is currently an associate professor with the Auckland University of Technology, New Zealand. His research interests include intelligent surveillance, computer vision, pattern recognition, and computer graphics. He is a senior member of the IEEE.View more
