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 :
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