Friday 26th of April 2024
 

Precise multiple object identification and tracking using efficient visual attributes in dense crowded scene with regions of rational movement


Pushpa D and H. S. Sheshadri

The proposed model represents a unique technique for detection and tracking multiple objects from a dense cluttered area like crowd by deploying greed algorithm. Understanding the complexity of deploying various image attributes e.g. edge, color etc, the proposed system will illustrate cost effective and robust procedure of using low-level attributes which takes very less computational time in order to produce autonomous rational mobility region as resultant. The technique also considers various difficult real-time scenarios in the dense crowd in order to design a highly cost effective algorithm. Performance analysis is carried out with different set of video sequences to find that proposed system has gradual robust detection rate as well as highly cost-effective computationally.

Keywords: - Object Detection, Dense Crowd Attribute Selection

Download Full-Text


ABOUT THE AUTHORS

Pushpa D
She is B.E in Electrical Engg, M.Tech in Computer Science and Engineering and presently doing PhD in Computer Vision Domain. She having more than six years of academic experience and has published journals paper in computer vision of international repute

H. S. Sheshadri
He has obtained his BE from University of Mysore during 1979 in E&C Engg., M.E in Applied Electronics from Bharathiar University , Coimbatore , India during 1989 and PhD from Anna University , Chennai, India during 2008. His filed of interest is Medical Image Processing and Embedded System.He has published various national and international papers.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »