Rapid Vision Application Development using Hive - A Modular and Scaleable Approach to Vision System Engineering
نویسندگان
چکیده
In this paper we demonstrate the use of Hive as a novel basis for creating multi-sensor vision systems. Hive is a framework in which reusable modules called drones are defined and connected together to create larger systems. Drones are simple to implement, perform a specific task and using the powerful interface of Hive can be combined to create sophisticated vision pipelines. We present a set of drones defined within Hive and a suite of applications built using these drones which utilize the input from multiple cameras and a variety of sensors. Results demonstrate the flexibility of approaches possible with Hive as well as the real-time performance of the Hive applications.
منابع مشابه
Vision Utility Framework A New
We are addressing two aspects of vision based system development that are not fully exploited in current frameworks: abstraction over low-level details and high-level module reusability. Through an evaluation of existing frameworks, we relate these shortcomings to the lack of systematic classification of sub-tasks in vision based system development. Our approach for addressing these two issues ...
متن کاملEvaluating How the Islamic Republic of Iran Achieved its Vision Economic Goals by Designing and Computing a Composite Index and Using Monte Carlo Simulation Approach for Uncertainty Analysis
The Islamic Republic of Iran Vision aimed to direct development plans and yearly budgets. As one of the most important part, it includes 13 economic goals for directing economic route of the country for a twenty years period. After 15 years, evaluating how the country achieved to these goals is very important and unfortunately neglected. In this article, considering the different nature of goal...
متن کاملParameters Identification of an Experimental Vision-based Target Tracker Robot Using Genetic Algorithm
In this paper, the uncertain dynamic parameters of an experimental target tracker robot are identified through the application of genetic algorithm. The considered serial robot is a two-degree-of-freedom dynamic system with two revolute joints in which damping coefficients and inertia terms are uncertain. First, dynamic equations governing the robot system are extracted and then, simulated nume...
متن کاملIdentification of Houseplants Using Neuro-vision Based Multi-stage Classification System
In this paper, we present a machine vision system that was developed on the basis of neural networks to identify twelve houseplants. Image processing system was used to extract 41 features of color, texture and shape from the images taken from front and back of the leaves. The features were fed into the neural network system as the recognition criteria and inputs. Multilayer perceptron (MLP) ne...
متن کاملComparison of Different Targets Used in Augmented Reality Applications in Ubiquitous GIS
Drilling requires accurate information about locations of underground infrastructures or it can cause serious damages. Augmented Reality (AR) as a technology in Ubiquitous GIS (UBIGIS) can be used to visualize underground infrastructures on smartphones. Since smartphone’s sensors do not provide such accuracy, another approaches should be applied. Vision based computer vision systems are well kn...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009