Video Based Vehicle Counting Using Deep Learning Algorithms
Citations
4 citations
Cites background from "Video Based Vehicle Counting Using ..."
...Mirthubashini and Santhi [45] surveyed various vehicle detection and tracking techniques, including both deep-learning and classical detection and tracking methods, such as Gaussian mixture models (GMM) [60] and Mixture of Gaussians (MoG) + Support Vector Machines (SVM) [2]....
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2 citations
References
126 citations
"Video Based Vehicle Counting Using ..." refers methods in this paper
...Background Subtraction[8] 94% Background Subtraction,Interframe difference[9] 90....
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...A Moving Object Detector (MOD), Vehicle Identifier (VI), Traffic Density Calculator (TDC) are used in [8]....
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75 citations
"Video Based Vehicle Counting Using ..." refers methods in this paper
...Faster RCNN, Kernalized Correlation Filters[7] 69%...
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...Two different techniques for detecting objects in a video were discussed in [7]....
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72 citations
"Video Based Vehicle Counting Using ..." refers background in this paper
...Three different kinds of roads namely, cross roads, T junction and straight roads were considered in [4] for better accuracy....
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...Algorithm Used Accuracy YoloV3,Keranalized Correlation filters[4] 86....
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71 citations
Additional excerpts
...A deep convolutional neural network based on video images in [10] to count the number of vehicles on a road segment Vehicles are counted manually in order to add a label to the image within each input image....
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46 citations
"Video Based Vehicle Counting Using ..." refers background in this paper
...A hierarchical deep learning approach for congestion detection is discussed in [11]....
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