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- Title
Application of Convolutional Neural Network (CNN)-AdaBoost Algorithm in Pedestrian Detection.
- Authors
Guiyuan Li; Changfu Zong; Guangfeng Liu; Tianjun Zhu
- Abstract
The article focuses on a pedestrian detection algorithm based on a combination of a five layer convolutional neural network structure and an AdaBoost classifier (CNN–AdaBoost); and mentions the key factor restricting the application of pedestrian detection methods in intelligent driving is the large amount of data processing, leading to high requirements for the robustness and real-time performance of the employed algorithm.
- Subjects
CONVOLUTIONAL neural networks; ALGORITHMS; MOTOR vehicle dynamics; PATTERN recognition systems
- Publication
Sensors & Materials, 2020, Vol 32, Issue 6, Part 1, p1997
- ISSN
0914-4935
- Publication type
Article
- DOI
10.18494/SAM.2020.2787