Open AccessResearch on Pedestrian Detection Algorithm Based on Image
Author(s) -
Boyi Wang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1345/6/062023
Subject(s) - pedestrian detection , pedestrian , computer science , sort , artificial intelligence , algorithm , image (mathematics) , machine learning , computer vision , engineering , transport engineering , information retrieval
Pedestrian detection is an important application of target detection. It is an important foundation in many fields, such as unmanned vehicle driving, intelligent monitoring system, pedestrian analysis and robot development. Despite a lot of research, pedestrian detection methods still have many problems to be solved urgently. In order to sort out the existing pedestrian detection algorithms, this paper will summarize and analyze the advantages and disadvantages of these algorithms. The two methods of traditional algorithms and deep learning algorithms are used to discuss pedestrian detection, analyze and compare the results of the two types of algorithms, and finally target pedestrians. The detection algorithm is expected.