Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/111665
Title: | Morphology based moving vehicle detection |
Authors: | Pawar, Bhushan Dinkar Humbe, Vikas T. Kundnani, Laxmikant |
Keywords: | Vehicle detectors Traffic monitoring Morphology |
Issue Date: | 2017 |
Publisher: | Institute of Electrical and Electronics Engineers |
Citation: | Pawar, B., Humbe, V. T., & Kundnani, L. (2017). Morphology based moving vehicle detection. 2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC), Chirala. 217-223. |
Abstract: | Detection of vehicles is the most imperative domain in recent years. It performs vital role in civilian and military application, vehicle tracking is one of the major application in defense sector. Traffic planning, city planning, traffic surveillance and control are the fundamental application in civilian sector. This research paper introduces morphological techniques for video vehicle detection which are based on Morphological approach. Literature survey presents recent work on vehicle detection techniques on vision based vehicle detection using sensors. Tracking the vehicle motion and recognize their features has been rising research area in the field of computer vision and image processing. Analysis of traffic images perform following steps: Fragmentation of frames; Morphological operation on frames; Vehicle counting. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/111665 |
Appears in Collections: | Scholarly Works - FacICTCIS |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Morphology_based_moving_vehicle_detection.pdf Restricted Access | 246.71 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.