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4 March 2015 Hardware-software face detection system based on multi-block local binary patterns
Laurentiu Acasandrei, Angel Barriga
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944305 (2015) https://doi.org/10.1117/12.2178794
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Face detection is an important aspect for biometrics, video surveillance and human computer interaction. Due to the complexity of the detection algorithms any face detection system requires a huge amount of computational and memory resources. In this communication an accelerated implementation of MB LBP face detection algorithm targeting low frequency, low memory and low power embedded system is presented. The resulted implementation is time deterministic and uses a customizable AMBA IP hardware accelerator. The IP implements the kernel operations of the MB-LBP algorithm and can be used as universal accelerator for MB LBP based applications. The IP employs 8 parallel MB-LBP feature evaluators cores, uses a deterministic bandwidth, has a low area profile and the power consumption is ~95 mW on a Virtex5 XC5VLX50T. The resulted implementation acceleration gain is between 5 to 8 times, while the hardware MB-LBP feature evaluation gain is between 69 and 139 times.
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Laurentiu Acasandrei and Angel Barriga "Hardware-software face detection system based on multi-block local binary patterns", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944305 (4 March 2015); https://doi.org/10.1117/12.2178794
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KEYWORDS
Facial recognition systems
Embedded systems
Detection and tracking algorithms
Feature extraction
Binary data
Sensors
Target detection
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