Target Object Detection algorithm using Wireless Sensor Network
A. Selvi1, C.Thilagavathi2

1A. Selvi, Assistant Professors, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
2C. Thilagavathi, Assistant Professors, Department of IT, M. Kumarasamy College of Engineering, Karur (Tamil Nadu), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 03 May 2019 | Manuscript Published on 07 May 2019 | PP: 256-261 | Volume-7 Issue-6S3 April 2019 | Retrieval Number: F1050376S19/2019©BEIESP
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Abstract: Object Detection in wireless sensor network (WSN) plays an important role surveillance application. In existing, a targeting object framework called Face Tracking is used for object detection. A polygon region called face, that is used for is constructing and detecting objects. The nodes that are grouped inside a face can communicate only among them. Edge recognition calculation is utilized to discover an edge discovery calculation is utilized, in which two hubs are associated has the best inclusion territory. An Optimal selection algorithm is used to select the nodes which can track the target with less energy usage. But if the target moves out of coverage area or if energy of the tracking node becomes low then the target may not be tracked exactly. To overcome this problem, a tracking scheme, called t-Tracking is proposed with an objective to achieve quality of tracking (QoT). Distributed tracking algorithm sends queries about the energy level and coverage area, to all the nodes in the face in which the target has to be tracked next. Based on the reply from all nodes, a node with best energy level and coverage area node will be selected for target tracking. Since a best node is selected, target can be tracked with accuracy.
Keywords: Wireless Sensor Network (WSN), Distributed Tracking Algorithm and t-Tracking.
Scope of the Article: Wireless ad hoc & Sensor Networks