Research Article
Abandoned Object Detection using Temporal Consistency Modeling
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 164 - Issue 10 |
| Published: Apr 2017 |
| Authors: Divya C. Patil, Pravin S. Patil |
10.5120/ijca2017913707
|
Divya C. Patil, Pravin S. Patil . Abandoned Object Detection using Temporal Consistency Modeling. International Journal of Computer Applications. 164, 10 (Apr 2017), 15-21. DOI=10.5120/ijca2017913707
@article{ 10.5120/ijca2017913707,
author = { Divya C. Patil,Pravin S. Patil },
title = { Abandoned Object Detection using Temporal Consistency Modeling },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 164 },
number = { 10 },
pages = { 15-21 },
doi = { 10.5120/ijca2017913707 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Divya C. Patil
%A Pravin S. Patil
%T Abandoned Object Detection using Temporal Consistency Modeling%T
%J International Journal of Computer Applications
%V 164
%N 10
%P 15-21
%R 10.5120/ijca2017913707
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper an effective approach for detecting the abandoned object/ luggage for video surveillance is present. Here the long-term and short-term background models are combined to extract foreground objects, where each pixel in an input is classified as two bit code. To identify the static foreground regions, a framework is used based on the temporal transition of code pattern and it also determines whether the candidate regions contain the abandoned object by analyzing the back traced trajectories of luggage owner. This paper also introduces the real-time application of proposed method. The real-time application is performed by using raspberry-pi processor and the raspberry-pi camera. The experimental results show that, the proposed approach is effective for detecting abandoned object/ luggage.
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