Local and global human activity detection for room energy saving model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Energy saving is an effort to decrease and minimize unnecessary energy consumption. The energy saving and energy efficiency is one of the famous issues in the last decade since the energy resource is rapidly depleted. Reducing unnecessary energy consumption could be performed by architectural design or automatic system approach. This paper proposes an idea to develop a model of energy usage in a room by detecting and counting the number of peoples and detecting their activities. In order to achieve the energy consumption model, the method consists of two modules: the human detection and the activity quantization of each detected object. The human is detected using multiple registered image channels that computed in linear and non-linear transformations of the input image. The activity of each detected object is approached by computing the movement of an object in a certain time. Moreover, the human activities were represented based on local and global motion of all detected object. Videos were recorded in a classroom to evaluate the performance of the method. In evaluation, the cooling load weight model of student walking and pointing hand activities were computed in certain schema. The results show that the method can predict human activity effectively. The proposed technique is suitable for a small cost of the room energy controller and achieves the goal of energy saving.

Original languageEnglish
Title of host publication2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages413-416
Number of pages4
ISBN (Electronic)9781509046294
DOIs
Publication statusPublished - 6 Mar 2017
Event8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia
Duration: 15 Oct 201616 Oct 2016

Publication series

Name2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
CountryIndonesia
CityMalang
Period15/10/1616/10/16

Keywords

  • Energy Saving
  • Human Activity Recognition
  • Motion Estimation
  • Object Detection

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