DocumentCode
156334
Title
SW/HW implementation of image covariance descriptor for person detection systems
Author
Abid, Nahla ; Ayedi, Walid ; Abid, Mohamed ; Ammeri, Ahmed Chiheb
Author_Institution
Nat. Sch. of Eng. of Sfax, Lab. of Comput. & Embedded Syst., Sfax, Tunisia
fYear
2014
fDate
17-19 March 2014
Firstpage
115
Lastpage
119
Abstract
Due to the complexity and the high performance requirement of person detection application, the design of embedded systems is the subject of different types of design constraints such as execution time, time to market, energy consumption, etc. Some methodologies were proposed in order to satisfy the different design constraints. This paper presents a mixed HW / SW design methodology for the implementation of an image covariance descriptor on a reconfigurable Altera StrtixIII FPGA platform. This implementation is intended for person detection and re-identification systems. It begins with a pure software implementation of the descriptor. A dynamic profiling is then made to identify the critical functions that require a hardware implementation. Finally, the most time consuming functions are implemented as hardware accelerators.
Keywords
covariance matrices; embedded systems; field programmable gate arrays; object detection; video surveillance; covariance matrix; embedded system design; energy consumption; execution time; hardware accelerators; image covariance descriptor; mixed hardware-software design methodology; person detection systems; person reidentification system; reconfigurable Altera StrtixIII FPGA platform; time-to-market; video surveillance system; Computer architecture; Design methodology; Field programmable gate arrays; Hardware; Ports (Computers); Real-time systems; Software; HW/SW implementation; Image covariance descriptor; Image descriptors; Profiling; design methodology;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
Conference_Location
Sousse
Type
conf
DOI
10.1109/ATSIP.2014.6834588
Filename
6834588
Link To Document