Human Activity Recognition Without Vision Tracking

Carlos Alberto Flores Vazquez, Marcelo Esteban Flores Vazquez, Joan Aranda, Daniel Orlando Icaza Alvarez, Nelson Federico Cordova

Research output: Chapter in Book/Report/Conference proceedingChapter


This work describes the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen. The difference between this and other proposals is that considers a human activity in a process without vision tracking. Videos are a sequence of photographs. Taking this into account, if you analyze an orderly sequence of images it could be based on the objects present in each scene so that you can understand the possible activity performed. However, it is not enough to consider the objects present in the scene; it is necessary to determine if those objects are employed or not by the humans present. If they are used, it is evident that they are necessary to carry out the activity; if they are not used they would only provide noise to the recognized activity. Therefore, it is necessary to generate a conceptualization of objects in the scene with characteristics (definition of an object, motion detector, object recognition, object position, object action) that allows you to recognize them and to determine the degree of use (unchanged, added, removed, moved, and indeterminate) and influence the possible recognized activity.
Translated title of the contributionReconocimiento de actividad humana sin seguimiento de visión
Original languageEnglish (US)
Title of host publicationIntelligent Video Surveillance
Number of pages20
ISBN (Print)978-953-51-6054-0
StatePublished - 1 Jul 2019

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound


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