tailieunhanh - Báo cáo hóa học: " An FPGA-Based People Detection System Vinod Nair"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài:An FPGA-Based People Detection System Vinod Nair | EURASIP Journal on Applied Signal Processing 2005 7 1047-1061 2005 Hindawi Publishing Corporation An FPGA-Based People Detection System Vinod Nair Centre for Intelligent Machines McGill University Montreal QC Canada H3A2A7 Email vnair@ Pierre-Olivier Laprise Centre for Intelligent Machines McGill University Montreal QC Canada H3A2A7 Email plapri@ James J. Clark Centre for Intelligent Machines McGill University Montreal QC Canada H3A2A7 Email clark@ Received 15 September 2003 Revised 12 August 2004 This paper presents an FPGA-based system for detecting people from video. The system is designed to use JPEG-compressed frames from a network camera. Unlike previous approaches that use techniques such as background subtraction and motion detection we use a machine-learning-based approach to train an accurate detector. We address the hardware design challenges involved in implementing such a detector along with JPEG decompression on an FPGA. We also present an algorithm that efficiently combines JPEG decompression with the detection process. This algorithm carries out the inverse DCT step of JPEG decompression only partially. Therefore it is computationally more efficient and simpler to implement and it takes up less space on the chip than the full inverse DCT algorithm. The system is demonstrated on an automated video surveillance application and the performance of both hardware and software implementations is analyzed. The results show that the system can detect people accurately at a rate of about frames per second on a Virtex-II 2V1000 using a MicroBlaze processor running at 75 MHz communicating with dedicated hardware over FSL links. Keywords and phrases computer vision FPGA people detection smart camera. 1. INTRODUCTION This paper describes a system for detecting people in images implemented on a field-programmable gate array FPGA . People detection is an important subtask in many computer vision applications such as .