Authors :
Divya R. Bora, Smita Jangale.
Volume/Issue :
Volume 4 - 2019, Issue 2 - February
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/sWdLZD
Thomson Reuters ResearcherID :
https://goo.gl/KTXLC3
Abstract :
The aim of the surveillance system is to detect and track the target object. For surveillance application in sensitive areas, there is need to have an unmanned tracking system by using wireless visual sensor network. This paper proposes a target tracking system based on block compressive sensing that utilizes minimum amount of data for processing. It also aims at improving quality of frame reconstruction and tracking of the moving object by minimizing the computational complexities in real time scenario. The use of Kalman filter technique for tracking improves the performance of the system.
Keywords :
Block Compressive Sensing, Target Tracking, Kalman Filter.
The aim of the surveillance system is to detect and track the target object. For surveillance application in sensitive areas, there is need to have an unmanned tracking system by using wireless visual sensor network. This paper proposes a target tracking system based on block compressive sensing that utilizes minimum amount of data for processing. It also aims at improving quality of frame reconstruction and tracking of the moving object by minimizing the computational complexities in real time scenario. The use of Kalman filter technique for tracking improves the performance of the system.
Keywords :
Block Compressive Sensing, Target Tracking, Kalman Filter.
