A novel method to represent repetitive and overwriting activities in motion history images

Rahul Gupta, Arpit Jain, Satakshi Rana

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Motion History Images(MHI) are extensively being used to represent the history of temporal changes involved in the execution of an activity. Here the intensity of the pixels of a scalar valued image are varied, depending upon the motion history. MHI suffers from a very prominent drawback that when self-occluding or over-writing activities are encountered it fails to generate a vivid description of the course of that activity. This happens because when repetitive activities are performed, the current action overwrites or deletes the information of the previous action. In this paper, we have designed a methodology which has overcome this problem of conventional MHI. In our mechanism, we have used red, green and blue channels to represent human movement. Initially the pixel values of all the three channels are null. When any motion is detected at a particular pixel for the first time, then it is represented using MHIR. However, if a repetitive action is performed, then it is represented using MHIG and if overwriting action is thereafter continued for the second time, then MHIB is utilized. In this approach, the pixel intensities are varied in accordance with the basic MHI. Thus, using our methodology which uses multiple channels, MHI is not only capable of detecting the history of motion but is also made capable of representing overlapping repetitive actions.

Original languageEnglish
Title of host publicationInternational Conference on Communication and Signal Processing, ICCSP 2013 - Proceedings
Pages556-560
Number of pages5
DOIs
Publication statusPublished - 09-09-2013
Externally publishedYes
Event2nd International Conference on Communication and Signal Processing, ICCSP 2013 - Melmaruvathur, Tamilnadu, India
Duration: 03-04-201305-04-2013

Conference

Conference2nd International Conference on Communication and Signal Processing, ICCSP 2013
CountryIndia
CityMelmaruvathur, Tamilnadu
Period03-04-1305-04-13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

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