Scene segmentation in video sequences by an RPCL neural network

2002 ◽  
Author(s):  
E. Chiarantoni ◽  
V. De Lecce ◽  
A. Guerriero
Keyword(s):  
Neural Network ◽  
Video Sequences ◽  
Scene Segmentation

scholarly journals Comparative analysis of the geometrized histogram method and the neural network method for road markings recognition

2021 ◽  
pp. 1-22
Author(s):  
Aleksei Valerievich Podoprosvetov ◽  
Dmitry Anatolevich Anokhin ◽  
Konstantin Ivanovich Kiy ◽  
Igor Aleksandrovich Orlov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Comparative Analysis ◽  
Computational Complexity ◽  
Video Sequences ◽  
Histogram Method ◽  
Neural Network Method ◽  
The Neural Network ◽  
Network Method ◽  
Accuracy Speed

This paper compares two approaches to determining road markings from video sequences, namely, the method of finding the markings using geometrized histograms and the method based on neural networks. An independent open dataset TuSimple is used to conduct a comparative analysis of the algorithms. Since the investigated methods have different architectures, their work is evaluated according to the following metrics: Accuracy, speed (relative FPS), general computational complexity of the algorithm (TFlops).

scholarly journals Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation

2020 ◽  
pp. 695-714
Author(s):  
Liang-Chieh Chen ◽  
Raphael Gontijo Lopes ◽  
Bowen Cheng ◽  
Maxwell D. Collins ◽  
Ekin D. Cubuk ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Video Sequences ◽  
Scene Segmentation ◽  
Urban Scene
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