Real-Time Multi-Scale Face Detector on Embedded Devices

Real Time Face Detection Based on skin tone detector

Face detection is critical to the application based on human face. Accurate and quick face detection has a determining effect on its following process, like face verification and face recognition etc. Adaboost algorithm [4] has been regarded as a very effective machine learning algorithm that can be applied to the face detection. However, with the increasing of image size determined by the adva...

Real-time Java for Embedded Devices:

Hardware Java-specific processors have been shown to provide the performance benefits over their software counterparts that make Java a feasible environment for executing even the most computationally expensive systems. In most cases, the core of these processors is a simple stack machine on which stack operations and logic and arithmetic operations are carried out. More complex bytecodes are i...

Real-Time Video Convolutional Face Finder on Embedded Platforms

A high-level optimization methodology is applied for implementing the well-known convolutional face finder (CFF) algorithm for real-time applications on mobile phones, such as teleconferencing, advanced user interfaces, image indexing, and security access control. CFF is based on a feature extraction and classification technique which consists of a pipeline of convolutions and subsampling opera...

uRT51: AN EMBEDDED REAL-TIME PROCESSOR IMPLEMENTED ON FPGA DEVICES

−− In this paper we describe and evaluate the main features of the uRT51 processor. The uRT51 processor was designed for embedded realtime control applications. It is a processor architecture that incorporates the specific functions of a real-time system in hardware. It was described using synthesizable VHDL and it was implemented on FPGA devices. We describe how the uRT51 processor supports ti...

A HOG-based Real-time and Multi-scale Pedestrian Detector Demonstration System on FPGA