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An Animation-and-Chirplet Based Approach to Intruder Classification using PIR Sensing

Upadrashta, Raviteja and Choubisa, Tarun and Aswath, VS and Praneeth, A and Prabhu, Ajit and Raman, Siddhant and Gracious, Tony and Kumar, Vijay P and Kowshik, Sripad and Iyer, Madhuri S and Prabhakar, TV (2015) An Animation-and-Chirplet Based Approach to Intruder Classification using PIR Sensing. In: 2015 IEEE Tenth Int Conference on Intelligent Sensors Sensor Networks & Information Proc (IISSNIP), APR 07-09, 2015, singapore, SINGAPORE.

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Official URL: http://dx.doi.org/10.1109/ISSNIP.2015.7106914


The development of a Passive Infra-Red (PIR) sensing based intrusion detection system is presented here having the ability to reject vegetative clutter and distinguish between human and animal intrusions. This has potential application to reducing human-animal conflicts in the vicinity of a wildlife park. The system takes on the form of a sensor-tower platform (STP) and was developed in-house. It employs a sensor array that endows the platform with a spatial-resolution capability. Given the difficulty of collecting data involving animal motion, a simulation tool was created with the aid of Blender and OpenGL software that is capable of quickly generating streams of human and animal-intrusion data. The generated data was then examined to identify a suitable collection of features that are useful in classification. The features selected corresponded to parameters that model the received signal as the superimposition of a fixed number of chirplets, an energy signature and a cross-correlation parameter. The resultant feature vector was then passed on to a Support Vector Machine (SVM) for classification. This approach to classification was validated by making use of real-world data collected by the STP which showed both STP design as well as classification technique employed to be quite effective. The average classification accuracy with both real and simulated data was in excess of 94%.

Item Type: Conference Proceedings
Additional Information: Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 Aug 2016 10:16
Last Modified: 25 Aug 2016 10:16
URI: http://eprints.iisc.ac.in/id/eprint/54551

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