This paper presents a hardware architecture for face detection based system on AdaBoost
algorithm using Haar features. We describe the hardware design techniques including …

This paper presents a parallelized architecture of multiple classifiers for face detection
based on the Viola and Jones object detection method. This method makes use of the …

Over recent years automated face detection and recognition (FDR) have gained significant
attention from the commercial and research sectors. This paper presents an embedded face …

Emerging embedded 3D vision systems for robotics and security applications utilize object
detection to perform video analysis in order to intelligently interact with their host …

Face detection is a technique that determines the locations and sizes of human face images.
It detects facial features and ignores anything else, such as buildings, trees and bodies …

This paper implements a field programmable gate array-(FPGA-) based face detector using
a neural network (NN) and the bit-width reduced floating-point arithmetic unit (FPU). The …

Low cost implementation of an accurate face recognition system is useful in many
applications. A face recognition algorithm based on Daubechies wavelets is proposed. The …

Object detection is a vital task in several existing as well as emerging applications, requiring
real-time processing and low energy consumption, and often with limited available hardware …

In recent years the use of real-time face detection and face recognition for surveillance,
human-machine interfaces and other applications has increased and thus the need for high …

Object detection is a major step in several computer vision applications and a requirement
for most smart camera systems. Recent advances in hardware acceleration for real-time …