Publication:
Multi objects detection and tracking system for smart home using wireless sensor network

Simple item page
cris.author.scopus-author-id 57202214349
cris.author.scopus-author-id 57192974774
cris.author.scopus-author-id 57194844651
cris.author.scopus-author-id 57197479309
dc.contributor.author Jadaa K.J.
dc.contributor.author Kamarudin L.M.
dc.contributor.author Ahmad R.B.
dc.contributor.author Hussein W.N.
dc.date.accessioned 2024-12-14T04:33:47Z
dc.date.available 2024-12-14T04:33:47Z
dc.date.issued 2019-09-01
dc.description.abstract The current developed event detection and tracking systems have several limitations that make them not suitable or efficient to be utilized in smart homes. These limitations include dealing with direction changes and varying speeds of an evolving events, node fault tolerance, energy consumption, missing of target, tracking precision, dynamicity of the target, and prediction accuracy. The situation become more difficult in term of multi-targets. Efficient tracking after the detection of an event based on robust data control and management would definitely help in making reliable distributed control decisions, therefore a reliable system is highly needed. In this paper we proposed a system for monitoring and detecting of continuous moving objects according to certain requirements and specifications that are related to smart home concept. The system can be detecting and tracking multi objects in the monitoring area that are moving randomly with varying speed by using ordinary sensors. The proposed system able to collect and analysis the data during their development in time and space. In this paper have been used a dynamic sensing model for accurate observation and delectability of the event. The simulation results of the proposed system show high detection and tracking accuracy for detection and tracking multi continues moving objects. The proposed system shows high tracking accuracy in term of single reach to 97 % and multi-targets (up to 5) reach to more than 94 %.
dc.identifier.doi 10.30534/ijatcse/2019/86852019
dc.identifier.scopus 2-s2.0-85075871875
dc.identifier.uri https://hdl.handle.net/20.500.14170/10847
dc.relation.grantno undefined
dc.relation.ispartof International Journal of Advanced Trends in Computer Science and Engineering
dc.relation.ispartofseries International Journal of Advanced Trends in Computer Science and Engineering
dc.rights open access
dc.subject Accuracy | Detection | Multi-targets | NS-2 | Tracking | Wireless Sensor Network
dc.title Multi objects detection and tracking system for smart home using wireless sensor network
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 2441
oaire.citation.issue 5
oaire.citation.startPage 2434
oaire.citation.volume 8
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
person.identifier.scopus-author-id 57202214349
person.identifier.scopus-author-id 57192974774
person.identifier.scopus-author-id 57194844651
person.identifier.scopus-author-id 57197479309
Files
Collections
Publications 2019