My Account | Careers | Downloads | Blog

ABSTRACT:

The complexity of intelligent computer vision systems demands novel system architectures that are capable of integrating various computer vision algorithms into a working system with high scalability. The real-time applications of human-centered computing are based on multiple cameras in current systems, which require a transparent distributed architecture. This paper presents an application-oriented service share model for the generalization of vision processing. Based on the model, a vision system architecture is presented that can readily integrate computer vision processing and make application modules share services and exchange messages transparently. The architecture provides a standard interface for loading various modules and a mechanism for modules to acquire inputs and publish processing results that can be used as inputs by others. Using this architecture, a system can load specific applications without considering the common low-layer data processing. We have implemented a prototype vision system based on the proposed architecture. The latency performance and 3-D track function were tested with the prototype system. The architecture is scalable and open, so it will be useful for supporting the development of an intelligent vision system, as well as a distributed sensor system.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach ABSTRACT: We are able to generate a process model by using automated process discovery techniques,
PROJECT TITLE : Scalable and Practical Natural Gradient for Large-Scale Deep Learning ABSTRACT: Because of the increase in the effective mini-batch size, the generalization performance of the models produced by large-scale distributed
PROJECT TITLE : On Model Selection for Scalable Time Series Forecasting in Transport Networks ABSTRACT: When it comes to short-term traffic predictions, up to the scale of one hour, the transport literature is quite extensive;
PROJECT TITLE : PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm ABSTRACT: One of the most common approaches to optimization is called Dual Coordinate Descent, or DCD for short. Due to the sequential
PROJECT TITLE : Blockchain and AI-empowered Healthcare Insurance Fraud Detection An Analysis, Architecture, and Future Prospects ABSTRACT: As the prevalence of health problems continues to rise, having health insurance has

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry