Results 21 to 30 of about 4,698,050 (307)

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? [PDF]

IEEE International Conference on Computer Vision, 2021
Deep learning-based methods for video pedestrian detection and tracking require large volumes of training data to achieve good performance. However, data acquisition in crowded public environments raises data privacy concerns – we are not allowed to ...
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, S. Calderara, L. Leal-Taixé, R. Cucchiara   +8 more
semanticscholar   +1 more source

MRCNNAM: Mask Region Convolutional Neural Network Model Based On Attention Mechanism And Gabor Feature For Pedestrian Detection

Journal of Applied Science and Engineering, 2023
A pedestrian detection algorithm based on the improved Mask RCNN framework and Gabor feature is proposed to solve the problem of poor pedestrian detection effect in complex scenes.
Ye Wang
doaj   +1 more source

Multi-cue onboard pedestrian detection [PDF]

2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009
Various powerful people detection methods exist. Surprisingly, most approaches rely on static image features only despite the obvious potential of motion information for people detection. This paper systematically evaluates different features and classifiers in a sliding-window framework.
Wojek, C., Walk, S., Schiele, B. ; https://orcid.org/0000-0001-9683-5237   +2 more
openaire   +2 more sources

Pedestrian Lane Detection for Assistive Navigation of Vision-Impaired People: Survey and Experimental Evaluation

IEEE Access, 2022
Pedestrian lane detection is a crucial task in assistive navigation for vision-impaired people. It can provide information on walkable regions, help blind people stay on the pedestrian lane, and assist with obstacle detection.
Yunjia Lei, Son Lam Phung, Abdesselam Bouzerdoum, Hoang Thanh Le, Khoa Luu   +4 more
doaj   +1 more source

Pedestrian Detection Using Quaternion Gradient Based Weber Local Descriptor

IEEE Access, 2021
In the past decades, pedestrian detection has attracted more attention in many practical applications. In this paper, a novel pedestrian detection method using Quaternion Gradient based Weber Local Descriptor (QGWLD) is proposed.
Guoyun Lian
doaj   +1 more source

Guided Attentive Feature Fusion for Multispectral Pedestrian Detection

IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021
Multispectral image pairs can provide complementary visual information, making pedestrian detection systems more robust and reliable. To benefit from both RGB and thermal IR modalities, we introduce a novel attentive multispectral feature fusion approach.
Heng ZHANG, Élisa Fromont, S. Lefèvre, Bruno Avignon, U. Rennes   +4 more
semanticscholar   +1 more source

A Novel Algorithm for Detecting Pedestrians on Rainy Image

Sensors, 2020
Pedestrian detection is widely used in cooperative vehicle infrastructure systems. Traditional pedestrian detection methods perform sufficiently well under sunny scenarios and obtain trustworthy traffic data.
Yuhang Liu, Jianxiao Ma, Yuchen Wang, Chenhong Zong   +3 more
doaj   +1 more source

Visible part prediction and temporal calibration for pedestrian detection

IET Image Processing, 2023
Despite their great advancement, current pedestrian detection methods focus on single static images, which fail to employ richer information available from the video sequences.
Peiyu Yang, Weixi Li, Lu Wang, Lisheng Xu, Qingxu Deng   +4 more
doaj   +1 more source

Pedestrian Detection in Low-Light Conditions: A Comprehensive Survey [PDF]

Image and Vision Computing
Pedestrian detection remains a critical problem in various domains, such as computer vision, surveillance, and autonomous driving. In particular, accurate and instant detection of pedestrians in low-light conditions and reduced visibility is of utmost ...
Bahareh Ghari, Ali Tourani, A. Shahbahrami, Georgi Gaydadjiev   +3 more
semanticscholar   +1 more source

Spatio-Contextual Deep Network-Based Multimodal Pedestrian Detection for Autonomous Driving [PDF]

IEEE transactions on intelligent transportation systems (Print), 2021
Pedestrian Detection is the most critical module of an Autonomous Driving system. Although a camera is commonly used for this purpose, its quality degrades severely in low-light night time driving scenarios.
Kinjal Dasgupta, Arindam Das, Sudip Das, U. Bhattacharya, S. Yogamani   +4 more
semanticscholar   +1 more source