Pedestrian detection based on improved LeNet-5 convolutional neural network
نویسندگان
چکیده
منابع مشابه
Pedestrian Detection with Deep Convolutional Neural Network
The problem of pedestrian detection in image and video frames has been extensively investigated in the past decade. However, the low performance in complex scenes shows that it remains an open problem. In this paper, we propose to cascade simple Aggregated Channel Features (ACF) and rich Deep Convolutional Neural Network (DCNN) features for efficient and effective pedestrian detection in comple...
متن کاملMulti-channel Convolutional Neural Network Ensemble for Pedestrian Detection
In this paper, we propose an ensemble classification approach to the Pedestrian Detection (PD) problem, resorting to distinct input channels and Convolutional Neural Networks (CNN). This methodology comprises two stages: piq the proposals extraction, and piiq the ensemble classification. In order to obtain the proposals, we apply several detectors specifically developed for the PD task. Afterwa...
متن کاملPedestrian Color Naming via Convolutional Neural Network
Color serves as an important cue for many computer vision tasks. Nevertheless, obtaining accurate color description from images is non-trivial due to varying illumination conditions, view angles, and surface reflectance. This is especially true for the challenging problem of pedestrian description in public spaces. We made two contributions in this study: (1) We contribute a large-scale pedestr...
متن کاملDouble-Star Detection Using Convolutional Neural Network in Atmospheric Turbulence
In this paper, we investigate the usage of machine learning in the detection and recognition of double stars. To do this, numerous images including one star and double stars are simulated. Then, 100 terms of Zernike expansion with random coefficients are considered as aberrations to impose on the aforementioned images. Also, a telescope with a specific aperture is simulated. In this work, two k...
متن کاملDeep Convolutional Neural Networks for pedestrian detection
Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. Despite the significant improvements, pedestrian detection is still an open challenge that calls for more and more accurate algorithms. In the last few years, deep learning and in particular convolutional neural network...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Algorithms & Computational Technology
سال: 2019
ISSN: 1748-3026,1748-3026
DOI: 10.1177/1748302619873601