Vehicle Abnormality Detection and Classification using Model based Tracking
Main Article Content
Abstract
In this paper, we present a novel approach for detection and classification of abnormal vehicles in urban highways. We considered four types of abnormal vehicles such as near pass, illegal lane crossing, slow moving and long time stopped vehicles and which are detected and classified based on vehicle tracking and speed information. The model based tracking is used to detect, near pass and illegal lane crossing vehicles. The slow moving and long time stopped vehicles are detected based on speed information computed from model based tracking information. Since, the detection accuracy is mainly depend upon reliable and most efficient tracking, we adopted model based tracking which able to track the vehicles efficiently under various situations such as shape and appearance variations in road crossing, illumination variation and complex background. The two video sequences selected from i-Lids and GRAM-RTM are used for experimentation and results are evaluated based on precision, recall and f-measure. The experimental results demonstrate that our approach achieves highest accuracy for detection and classification of abnormal vehicles in urban highways.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.