Detection of Abandoned Objects in Real Time
IR@CEERI: CSIR-Central Electronics Engineering Research Institute, Pilani
View Archive Info| Field | Value | |
| Title |
Detection of Abandoned Objects in Real Time
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| Creator |
Raheja, JL
Malireddy, C Singh, A |
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| Subject |
Digital Systems
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| Description |
In this paper we describe an intuitive model for
accurate and efficient detection of abandoned objects. The
system is built on the backbone of the Gaussian Mixture Model
for background subtraction. We apply a simple and robust
method for shadow detection . Next, detection of stable blobs is
carried out using Mathew et al’s method, and an important
modification is suggested that is resistant to temporary
occlusions, and removes unnecessary parameters from the
model. Changes to the background itself are identified via a
'ghost' removal procedure that can distinguish between true
and removed objects. Results of testing the model are
presented with conclusions.
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| Date |
2011
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| Type |
Conference or Workshop Item
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ceeri.csircentral.net/174/1/61_2010.pdf
Raheja, JL and Malireddy, C and Singh, A (2011) Detection of Abandoned Objects in Real Time. In: International Conference on Electronics Computer Technology (ICECT 2011), April 8-10, 2011, VI Institute of Technology, Kanyakumari, Bangalore. (Submitted) |
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| Relation |
http://ceeri.csircentral.net/174/
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