Motion camera based on a custom vision sensor and an FPGA architecture
نویسنده
چکیده
A digital camera for custom focal plane arrays was developed. The camera allows the test and development of analog or mixed-mode arrays for focal plane processing. The camera is used with a custom sensor for motion detection to implement a motion computation system. The custom focal plane sensor detects moving edges at the pixel level using analog VLSI techniques. The sensor communicates motion events using the event-address protocol associated to a temporal reference. In a second stage, a coprocessing architecture based on a Field Programmable Gate Array (FPGA) computes the time-of-travel between adjacent pixels. The FPGA allows rapid prototyping and flexible architecture development. Furthermore, the FPGA interfaces the sensor to a compact PC computer (PC-104 standard) which is used for high level control and data communication to the local network. The camera could be used in applications such as self-guided vehicles, mobile robotics and smart surveillance systems. The programmability of the FPGA allows the exploration of further signal processing like spatial edge detection or image segmentation tasks. The article details the motion algorithm, the sensor architecture, the use of the eventaddress protocol for velocity vector computation and the FPGA architecture used in the motion camera system.
منابع مشابه
FPGA-Based Real-Time Motion Detection for Automated Video Surveillance Systems
Design of automated video surveillance systems is one of the exigent missions in computer vision community because of their ability to automatically select frames of interest in incoming video streams based on motion detection. This research paper focuses on the real-time hardware implementation of a motion detection algorithm for such vision based automated surveillance systems. A dedicated VL...
متن کاملComparison of Three Smart Camera Architectures for Real-Time Machine Vision System
This paper presents a machine vision system for real-time computation of distance and angle of a camera from a set of reference points located on a target board. Three different smart camera architectures were explored to compare performance parameters such as power consumption, frame speed and latency. Architecture 1 consists of hardware machine vision modules modeled at Register Transfer (RT)...
متن کاملEmbedded Early Vision Systems: Implementation Proposal and Hardware Architecture
We present our approach towards a smart sensor, with embedded processing resources to perform early vision tasks. Our work is based on the active vision paradigm, adapting the perceptual aspects of biological vision to artificial systems. The FPGA/DSP-based hardware platform developed as prototype of a smart camera is presented, and a design methodology to reduce implementation time and complex...
متن کاملField Programmable Gate Array–based Implementation of an Improved Algorithm for Objects Distance Measurement (TECHNICAL NOTE)
In this work, the design of a low-cost, field programmable gate array (FPGA)-based digital hardware platform that implements image processing algorithms for real-time distance measurement is presented. Using embedded development kit (EDK) tools from Xilinx, the system is developed on a spartan3 / xc3s400, one of the common and low cost field programmable gate arrays from the Xilinx Spartan fami...
متن کاملRobot Motion Vision Pait I: Theory
A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...
متن کامل