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http://dx.doi.org/10.14400/JDC.2014.12.8.337

Real-Time Object Tracking Algorithm based on Minimal Contour in Surveillance Networks  

Kang, Sung-Kwan (Dept. of Computer and Information Engineering, Inha University)
Park, Yang-Jae (Dept. of Computer Engineering, Gachon University)
Publication Information
Journal of Digital Convergence / v.12, no.8, 2014 , pp. 337-343 More about this Journal
Abstract
This paper proposes a minimal contour tracking algorithm that reduces transmission of data for tracking mobile objects in surveillance networks in terms of detection and communication load. This algorithm perform detection for object tracking and when it transmit image data to server from camera, it minimized communication load by reducing quantity of transmission data. This algorithm use minimal tracking area based on the kinematics of the object. The modeling of object's kinematics allows for pruning out part of the tracking area that cannot be mechanically visited by the mobile object within scheduled time. In applications to detect an object in real time,when transmitting a large amount of image data it is possible to reduce the transmission load.
Keywords
Object Detection; Region-based Tracking; Vectorization; Minimum Contour-based Tracking; Object Tracking;
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