Volume & Issue no: Volume 5, Issue 2, March - April 2016
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Title: |
Survey on Serial and Parallel Computing approaches for Real-Time Object Detection, Recognition and Tracking Systems |
Author Name: |
K.Sivakumar , Dr. P.Shanmugapriya |
Abstract: |
Abstract
Object Detection, Recognition and Tracking operations are
the important operations involved in machine vision and
computer vision applications such as video surveillance,
intelligent vehicle systems, person identification system,
industrial product quality and quantity checking and many
more. In the real time systems, it requires high speed
computing approaches and devices to perform these
operations. A parallel computing approach is the recent
approach after the development of multi-core processor.
Parallel computing method gives high performance result
then the traditional way of serial computing. These computing
approaches can be developed in two ways; one is software and
another is hardware approach. There is a need for explore all
these methods and approaches collectively to taken in to
consideration for the efficient implementation of the real-time
applications with high accuracy and good result. This paper
presents the survey on Real-time object detection, recognition
and tracking systems for computer vision and machine vision
systems through serial, parallel, hardware and software
approaches and also it presents the different algorithms,
methods, result analysis, limitations evaluation metrics and
the best approaches for future research work.
Keywords: objects; detection; tracking; recognition;
hardware; software, serial; parallel, FPGA. |
Cite this article: |
K.Sivakumar , Dr. P.Shanmugapriya , "
Survey on Serial and Parallel Computing approaches for Real-Time Object Detection, Recognition and Tracking Systems" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 5, Issue 2, March - April 2016 , pp.
087-093 , ISSN 2278-6856.
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