DocumentCode :
1627182
Title :
Real-time optimization of Viola -Jones face detection for mobile platforms
Author :
Jianfeng Ren ; Kehtarnavaz, Nasser ; Estevez, Leonardo
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX
fYear :
2008
Firstpage :
1
Lastpage :
4
Abstract :
Face detection algorithms based on the Viola-Jones object detection approach is widely adopted in digital camera products. Due to the computational complexity of these algorithms, often a hardware coprocessor is used for their real-time operation. This paper discusses how to achieve real-time software-based implementation of these algorithms on mobile devices that have relatively limited processing and memory capabilities. Various optimization techniques are discussed and an example implementation outcome on an actual mobile platform is presented.
Keywords :
face recognition; mobile computing; optimisation; Viola-Jones object detection; hardware coprocessor; mobile devices; mobile platforms; real-time optimization; real-time software-based implementation; Classification tree analysis; Computational complexity; Coprocessors; Digital cameras; Face detection; Hardware; Instruments; Modems; Object detection; XML; Real-time face detection; mobile platform; software optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems Workshop: System-on-Chip - Design, Applications, Integration, and Software, 2008 IEEE Dallas
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-2955-4
Electronic_ISBN :
978-1-4244-2956-1
Type :
conf
DOI :
10.1109/DCAS.2008.4695921
Filename :
4695921
Link To Document :
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