Detection and tracking of a human using the infrared thermopile array sensor — 'Grid-EYE'
| Autor: | Disha, B. Shubha, K. Suryanarayana, Akshaya D. Shetty |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Infrared
business.industry Computer science Sensor grid 010401 analytical chemistry Detector 02 engineering and technology Kalman filter 021001 nanoscience & nanotechnology Tracking (particle physics) 01 natural sciences Thermopile Temperature measurement 0104 chemical sciences Computer vision Artificial intelligence 0210 nano-technology business Energy (signal processing) |
| Zdroj: | 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). |
| DOI: | 10.1109/icicict1.2017.8342790 |
| Popis: | Human detection using sensors preserves the privacy. The Passive Infrared (PIR) sensor is used to detect the presence of human. But this detects the human only if they are in motion. Grid-EYE sensor overcomes the limitation of PIR sensor by detecting the human at stationary position. The Grid-EYE sensor detects the human using the infrared radiation radiated by the human body. Every human radiates the infrared energy of specific wavelength range. The absorbed incident radiation changes the temperature of a material. In this paper detection of a human using Grid-EYE sensor is proposed. The Grid-EYE sensor is a thermal infrared detector consisting of 64 thermopile elements arranged in a specific grid format. The Grid-EYE sensor is able to detect moving object, motionless object and also the direction of movements. The Grid-EYE sensor provides the temperature data of a human present at stationary as well as moving position. Using these temperature data as an input detection of a human at stationary and tracking of a human at moving position using Kalman filter is presented in this paper. |
| Databáze: | OpenAIRE |
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