scholarly journals Moving vehicle detection from video sequences for Traffic Surveillance System

2021 ◽  
Author(s):  
Jency Rubia J ◽  
Babitha Lincy R ◽  
Ahmed Thair Al-Heety
Keyword(s):  
Surveillance System ◽  
Vehicle Detection ◽  
Video Sequences ◽  
Traffic Surveillance ◽  
Moving Vehicle ◽  
Moving Vehicle Detection

An Efficient Optimal Neural Network-Based Moving Vehicle Detection in Traffic Video Surveillance System

2019 ◽  
Vol 39 (2) ◽  
pp. 734-756 ◽  
Author(s):  
Ahilan Appathurai ◽  
Revathi Sundarasekar ◽  
C. Raja ◽  
E. John Alex ◽  
C. Anna Palagan ◽  
...  
Keyword(s):  
Neural Network ◽  
Video Surveillance ◽  
Surveillance System ◽  
Vehicle Detection ◽  
Video Surveillance System ◽  
Moving Vehicle ◽  
Traffic Video ◽  
Moving Vehicle Detection

scholarly journals V-DaT: A Robust method for Vehicle Detection and Tracking

2021 ◽  
Vol 12 (2) ◽  
pp. 2492-2505
Author(s):  
Latha Anuj , Et. al.
Keyword(s):  
Background Subtraction ◽  
Vehicle Detection ◽  
Morphological Operations ◽  
Traffic Surveillance ◽  
Moving Vehicle ◽  
Directional Filtering ◽  
Detection And Tracking ◽  
Algorithmic Optimization ◽  
Vehicle Detection And Tracking ◽  
Moving Vehicle Detection

Vision-based traffic surveillance has been one of the most promising fields for improvement and research. Still, many challenging problems remain unsolved, such as addressing vehicle occlusions and reducing false detection. In this work, a method for vehicle detection and tracking is proposed. The proposed model considers background subtraction concept for moving vehicle detection but unlike conventional approaches, here numerous algorithmic optimization approaches have been applied such as multi-directional filtering and fusion based background subtraction, thresholding, directional filtering and morphological operations for moving vehicle detection. In addition, blob analysis and adaptive bounding box is used for Detection and Tracking. The Performance of Proposed work is measured on Standard Dataset and results are encouraging.

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