Title: Wireless camera network with enhanced SIFT algorithm for human tracking mechanism

Authors: G. Usha Devi; M.K. Priyan; C. Gokulnath

Addresses: School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India ' School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India

Abstract: In order to deal with the wireless camera networks (WCNs), whose detecting power of conventional camera networks with elasticity, reconfigurability and with a simple deployment of wireless sensor networks (WSN) for efficiently addressing the significant responsibilities in the method of cluster based human (object) tracking, such as integrating the measurement, including or ruling out in the cluster and cluster head rotation. The WCN effectively uses division friendly representation and methods in which every node contributes to the estimation in each methodology without the requirement of any previous information of the remaining the nodes. These methods are integrated in two different schemas so that they can be deployed with the same mean time without considering the cluster size. Thus, the observation and practical evaluation shows that the proposed schemes and methodology drastically reduces the energy consumption and computational trouble in accordance to the existing methodology.

Keywords: cluster; human frames; sensors; SIFT.

DOI: 10.1504/IJITST.2018.093376

International Journal of Internet Technology and Secured Transactions, 2018 Vol.8 No.2, pp.185 - 194

Received: 15 Mar 2017
Accepted: 05 May 2017
Published online: 25 Jul 2018 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article