Spatial and temporal sampling control for visual surveillance application

Sabu Emmanuel, Peng Zhang, Agus Sugama

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper a novel way to control the amount of generated video surveillance data by controlling the spatial and temporal samplings of video is proposed. The samplings are controlled adaptively using the speed, distance and dimension of the object extracted dynamically from the surveillance video. We also present a method of estimating the actual 2D dimension, location and speed of moving objects especially from surveillance video of indoor environments such as indoor car parks, corridors of buildings, shopping malls etc. Experiments were conducted to study the generated data size reduction and the reduction is found to be substantial and also to find the accuracy of the estimated 2D dimension, location and speed of the moving object and the accuracy is found to be high.

Original languageEnglish
Article number4811395
Pages (from-to)903-908
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 12 Oct 200815 Oct 2008

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