A Robust Bus Detection and Recognition Method Based on 3D Model and LSD Method for Public Security Road Crossing Application

2012 ◽  
pp. 73-81 ◽  
Author(s):  
Wenqi Ma ◽  
Hua Yang ◽  
Yingkun Wang
Keyword(s):  
3D Model ◽  
Public Security ◽  
Recognition Method ◽  
Road Crossing ◽  
Detection And Recognition

A new detection and recognition method for optical fiber pre-warning system

Optik ◽  
2017 ◽  
Vol 137 ◽  
pp. 209-219 ◽  
Author(s):  
Hongquan Qu ◽  
Tong Zheng ◽  
Liping Pang ◽  
Xuelian Li
Keyword(s):  
Optical Fiber ◽  
Warning System ◽  
Recognition Method ◽  
Detection And Recognition

scholarly journals An Attention-based Text Detection and Recognition Method for Terminals of Current Transformer’s Secondary Circuit

2021 ◽  
Vol 2137 (1) ◽  
pp. 012022
Author(s):  
Da Lu ◽  
Jia Liu ◽  
Helong Li
Keyword(s):  
Positional Information ◽  
Text Detection ◽  
Text Recognition ◽  
Secondary Circuit ◽  
Recognition Method ◽  
Fine Grained ◽  
Actual Working ◽  
Background Clutter ◽  
Detection And Recognition

Abstract Recognizing irregular text in real industrial scenes is a challenging task due to the background clutter, low resolutions or distortions. In this work, an attention-based text detection and recognition method for terminals of current transformer’s secondary circuit is proposed. It consists of three major components: pre-processing, text detection and text recognition. In text recognition module, a novel spatial temporal embedding is designed to better utilize the positional information. During training, the proposed framework only requires sequence-level annotations, instead of extra fine-grained character-level boxes or segmentation masks as in previous work. Despite its simplicity, the proposed method achieves good performance on the dataset collected in actual working scene.

Sign in / Sign up

Export Citation Format

Share Document