Communication-aware face detection using noc architecture

Authors:
Hung-Chih Lai;Radu Marculescu;Marios Savvides;Tsuhan Chen
Affiliations:
Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA;Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA
Venue:
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Year:
2008

Citing 9
Cited 3

Neural Network-Based Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Networks on chip

Networks on chip
Embedded Hardware Face Detection

VLSID '04 Proceedings of the 17th International Conference on VLSI Design
Object Detection Using the Statistics of Parts

International Journal of Computer Vision
Energy-Aware Communication and Task Scheduling for Network-on-Chip Architectures under Real-Time Constraints

Proceedings of the conference on Design, automation and test in Europe - Volume 1
Face detection for automatic exposure control in handheld camera

ICVS '06 Proceedings of the Fourth IEEE International Conference on Computer Vision Systems
A Parallel Architecture for Hardware Face Detection

ISVLSI '06 Proceedings of the IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures

Cascade boosting-based object detection from high-level description to hardware implementation

EURASIP Journal on Embedded Systems - Special issue on design and architectures for signal and image processing
AdaBoost-based face detection for embedded systems

Computer Vision and Image Understanding
Face detection in resource constrained wireless systems

Mobile Multimedia Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Face detection is an essential first step towards many advanced computer vision, biometrics recognition and multimedia applications, such as face tracking, face recognition, and video surveillance. In this paper, we proposed an FPGA hardware design with NoC (Network-on-Chip) architecture based on an AdaBoost face detection algorithm. The AdaBoost-based method is the state-of-the-art face detection algorithm in terms of speed and detection rates and the NoC provides high communication capability architecture. This design is verified on a Xilinx Virtex-II Pro FPGA platform. Simulation results show the improvement in speed 40 frames per second compared to software implementation. The NoC architecture provides scalability so that our proposed face detection method can be sped up by adding multiple classifier modules.