In this study, we transform the multiple-pedestrian detection problem into a multimodal optimization problem and then utilize a multimodal estimation of ...
Multimodal Estimation of Distribution Algorithm (MEDA) [16] to solve the multiple-pedestrian detection problem, which will be elucidated in details in the ...
Fast pedestrian detection using multimodal estimation of distribution algorithms. D. Tan, W. Chen, J. Zhang, and W. jie Yu. GECCO, page 1248-1255.
This study develops a multimodal pedestrian detection system in crowded scenes using metaheuristics and a deep convolutional neural network (MMPD-MDCNN) ...
Abstract—Taking the advantage of estimation of distribution algorithms (EDAs) in preserving high diversity, this paper pro- poses a multimodal EDA.
Missing: pedestrian | Show results with:pedestrian
Mar 27, 2021 · This paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm.
Missing: multimodal | Show results with:multimodal
This paper delves into pedestrian detection and tracking algorithms within a multi-modal image framework grounded in deep learning methodologies.
This project provides a paper list about pedestrian detection following the taxonomy in "From Handcrafted to Deep Features for Pedestrian Detection: A Survey ( ...
The rational use of feature maps at different scales becomes a top priority for pedestrian detection tasks. This study proposes a pedestrian detection algorithm.
Detecting and tracking pedestrians accurately is essential to design efficient and robust collision avoidance systems. But traditional approaches to pedestrian ...