The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 42-630
Full Name: Tyzz Kae Ang
Position: Student
Age: ON
Sex: Male
Address: 782-C Taman Kerjasama Bukit Beruang, 75450 Melaka
Country: MALAYSIA
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E-mail address: tkang@mmu.edu.my
Other E-mails: atzkae@gmail.com
Title of the Paper: wavelet mach filter for omnidirectional human activity recognition
Authors as they appear in the Paper: Tyzz kae Ang,Alan wee chiat Tan,Chu kiong Loo,Wai kit Wong
Email addresses of all the authors: tkang@mmu.edu.my,wctan@mmu.edu.my,ckloo@mmu.edu.my,wkwong@mmu.edu.my
Number of paper pages: 11
Abstract: Action recognition is important in the field of intelligent security and surveillance. However, most surveillance cameras can only capture in one direction with limited viewing angle. This paper proposes an edge enhancement template-based method of omnidirectional action recognition that is able to detect specific actions at a 360 degree of view. A MACH filter captures intra-class variability by synthesizing a single action MACH filter for a given action class. The proposed method, based on the wavelet MACH filter, provides additional flexibility of an adaptive choice of wavelet scale factors and, in doing so, enables the selection of the size and orientation of the smoothing function in edge enhancement to optimize the performance of the MACH filter. Moreover, the use of wavelet transform improves the performance of the MACH filter by enhancing the cross-correlation peak intensity in the recognition process. By unwarping the omnidirectional image into a panoramic !
image, action recognition is achievable in 360 degree wide angle of view.
Keywords: Omnidirectional vision,Log-polar transformation,Action recognition,Maximum average correlation height,Mexican-hat wavelet,3D normalized cross-correlation
EXTENSION of the file: .pdf
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