research-article

Feature-based tracking approach for detection of moving vehicle in traffic videos

Authors:

Elham Dallalzadeh,

D. S. GuruAuthors Info & Claims

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

Pages 254 - 260

https://doi.org/10.1145/1963564.1963609

Published: 27 December 2010 Publication History

Abstract

In this paper, we present a novel approach for detection of moving vehicles in traffic videos. We propose a feature-based (corner-based) tracking to track and classify moving vehicles from the extracted ghost or cast shadow. The corner points of the vehicles are detected, labeled and grouped to generate a unique label per vehicle. This approach is able to deal with different types of deformations on the shape of the vehicles due to changes in size, direction and viewpoint. Also, the proposed method is totally free from motion estimation. To demonstrate the robustness and accuracy of our system, the results of the experiments are conducted on traffic videos including different complex background, illumination, motion, camera position, clutter and direction of the vehicles taken from outdoor boulevards and city roads. We detect moving vehicles on an average of 98.8% in a scene. The results show the robustness of our proposed algorithm.

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Cited By

Alomari AAbu Lebdeh E(2022)Smart Real-Time Vehicle Detection and Tracking System Using Road Surveillance CamerasJournal of Transportation Engineering, Part A: Systems10.1061/JTEPBS.0000728148:10Online publication date: Oct-2022
https://doi.org/10.1061/JTEPBS.0000728
Ranjeeth Kumar CAnuradha R(2020)RETRACTED ARTICLE: Feature selection and classification methods for vehicle tracking and detectionJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-01824-312:3(4269-4279)Online publication date: 4-Mar-2020
https://doi.org/10.1007/s12652-020-01824-3
Choksi MZaveri MAnand S(2018)Traffic Surveillance for Smart City in Internet of Things EnvironmentIntelligent Systems and Applications10.1007/978-3-030-01057-7_16(189-204)Online publication date: 8-Nov-2018
https://doi.org/10.1007/978-3-030-01057-7_16
Show More Cited By

Index Terms

Feature-based tracking approach for detection of moving vehicle in traffic videos
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections
        Object recognition
        Tracking
      2. Computer vision tasks
        Scene understanding

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cover image ACM Other conferences

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

December 2010

355 pages

ISBN:9781450304085

DOI:10.1145/1963564

Editors:
M. D. Tiwari
IIIT Allahabad, India
,
R. C. Tripathi
IIIT Allahabad, India
,
Anupam Agrawal
IIIT Allahabad, India

Copyright � 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2010

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IITM '10

IITM '10: First International Conference on Intelligent Interactive Technologies and Multimedia

December 27 - 30, 2010

Allahabad, India

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Cited By

Alomari AAbu Lebdeh E(2022)Smart Real-Time Vehicle Detection and Tracking System Using Road Surveillance CamerasJournal of Transportation Engineering, Part A: Systems10.1061/JTEPBS.0000728148:10Online publication date: Oct-2022
https://doi.org/10.1061/JTEPBS.0000728
Ranjeeth Kumar CAnuradha R(2020)RETRACTED ARTICLE: Feature selection and classification methods for vehicle tracking and detectionJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-01824-312:3(4269-4279)Online publication date: 4-Mar-2020
https://doi.org/10.1007/s12652-020-01824-3
Choksi MZaveri MAnand S(2018)Traffic Surveillance for Smart City in Internet of Things EnvironmentIntelligent Systems and Applications10.1007/978-3-030-01057-7_16(189-204)Online publication date: 8-Nov-2018
https://doi.org/10.1007/978-3-030-01057-7_16
Narayanan VCrane C(2013)Active relearning for robust on-road vehicle detection and tracking2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)10.1109/ICCAS.2013.6703875(124-129)Online publication date: Oct-2013
https://doi.org/10.1109/ICCAS.2013.6703875
Kumar PPateriya R(2012)A survey on SQL injection attacks, detection and prevention techniques2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)10.1109/ICCCNT.2012.6396096(1-5)Online publication date: Jul-2012
https://doi.org/10.1109/ICCCNT.2012.6396096
Kumar TSivanandam S(2012)Object detection and tracking in video using particle filter2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)10.1109/ICCCNT.2012.6395921(1-10)Online publication date: Jul-2012
https://doi.org/10.1109/ICCCNT.2012.6395921

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