Efficient Vehicle Counting and Classification using Robust Multi-Cue Consecutive Frame Subtraction

Efficient Vehicle Counting and Classification using Robust Multi-Cue Consecutive Frame Subtraction

Manaswini Chadalavada

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Efficient Vehicle Counting and Classification using Robust Multi-Cue Consecutive Frame Subtraction

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Abstract

The ability to count and classify vehicles provides valuable information to road network managers, highways agencies and traffic operators alike, enabling them to manage traffic and to plan future development of the network. Increased computational speed of processors has enabled application of vision technology in several fields such as: Industrial automation, Video security, transportation and automotive. The proposed method in this paper is a robust adaptive multi-cue frame subtraction method that detects foreground pixels corresponding to moving and stopped vehicles, even with noisy images due to compression. First the approach adaptively thresholds a combination of luminance and chromaticity disparity maps between the learned background and the current frame. The segmentation is further used by a two-step tracking approach, which combines the simplicity of a linear 2-D Kalman filter and the complexity of 3-D volume estimation using Markov chain Monte Carlo (MCMC) methods. The experimental results shows that the proposed method can count and classify vehicles in real time with a high level of performance under challenging situations, such as with moving casted shadows on sunny days, headlight reflections on the road using only a single standard camera.

References

15 Cites in Article

Reference Format

Luis Unzueta,Marcos Nieto,Andoni Cortes,Javier Barandiaran,Oihana Otaegui,Pedro Sanchez (2012). Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification.
C Wren,A Azarbayejani,T Darrell,A Pentland (1997). Pfinder: Real-time tracking of the human body.
C Stauffer,W Grimson (1999). Adaptive background mixture models for real-time tracking.
Ahmed Elgammal,Ramani Duraiswami,Member,David Ieee,Larry Harwood,Davis (2002). Background and Foreground Modelling Using Nonparametric Kernel Density Estimation for Visual Surveillance.
Kyungnain Kim,' Thanarat,H Chalidabhongse,',David Hanuood,',Larry Davis Background Modelling and Subtraction by Codebook Construction.
J Stander,Roland Mech,Jorn Ostermann (1999). Detection of moving cast shadows for object segmentation.
Andrea Prati,Member,Ivana Ieee,Mikic (2003). Unknown Title.
J Kittler,M Matas,L Bober,Nguyen (1995). Image interpretation: exploiting multiple cues.
J Crowley,H I Christensen (1995). Vision as Process.
Jiri Matas,Paolo Remagnino,Josef Kittler,John Illingworth (1994). Control of Scene Interpretation.
E Preteux (1992). Watershed and skeleton by influence zones: A distance-based approach.
X Zou,D Li,J Liu (2007). Real-time vehicles tracking based on Kalman filter in an ITS.
Z Khan,T Balch,F Dellaert (2005). MCMC-based particle filtering for tracking a variable number of interacting targets.
M Nieto,L Unzueta,A Cortés,J Barandiaran,O Otaegui,P Sánchez (2011). REAL-TIME 3D MODELING OF VEHICLES IN LOW-COST MONOCAMERA SYSTEMS.
J Mayo,Tapamo (2009). Background subtraction survey for highway surveillance.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Manaswini Chadalavada. 2013. \u201cEfficient Vehicle Counting and Classification using Robust Multi-Cue Consecutive Frame Subtraction\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F8).

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GJCST Volume 13 Issue F8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

3D volume estimation tracking vision technologies

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 5, 2013
Published January 15, 2013

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v1.2

Issue date

November 26, 2013

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Article Matrices

Total Score: 101

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Manaswini Chadalavada (PhD/Dr. count: 0)

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Total Downloads: 2535

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