Results 51 to 60 of about 4,698,050 (307)
YOLOv8-CB: Dense Pedestrian Detection Algorithm Based on In-Vehicle Camera
ElectronicsRecently, the field of vehicle-mounted visual intelligence technology has witnessed a surge of interest in pedestrian detection. Existing algorithms for dense pedestrian detection at intersections face challenges such as high computational weight ...
Qiuli Liu +3 more
semanticscholar +1 more source
IEEE transactions on circuits and systems for video technology (Print), 2021 Integrating multispectral data has been demonstrated to be an effective solution for illumination-invariant pedestrian detection, in particular, RGB and thermal images can provide complementary information to handle light variations. However, most of the
Tianshan Liu, K. Lam, Rui Zhao, G. Qiu
semanticscholar +1 more source
A Shallow–Deep Feature Fusion Method for Pedestrian Detection
Applied Sciences, 2021 In this paper, a shallow–deep feature fusion (SDFF) method is developed for pedestrian detection. Firstly, we propose a shallow feature-based method under the ACF framework of pedestrian detection.
Daxue Liu, Kai Zang, Jifeng Shen
doaj +1 more source
Robustness Analysis of Pedestrian Detectors for Surveillance
IEEE Access, 2018 To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on.
Yuming Fang +4 more
doaj +1 more source
Scale Invariant Mask R-CNN for Pedestrian Detection
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2020 Pedestrian detection is a challenging and active research area in computer vision. Recognizing pedestrians helps in various utility applications such as event detection in overcrowded areas, gender, and gait classification, etc.
Ujwalla H Gawande +2 more
doaj +1 more source
The Use of Thermal Cameras for Pedestrian Detection
IEEE Sensors Journal, 2022 Visible-range camera sensors have been widely used for pedestrian detection. However, most of the methods, which employ visible-range color cameras, do not perform well under low-light and no-light conditions, e.g. during night time.
Fatih Altay, Senem Velipasalar
semanticscholar +1 more source
Scale-Aware Hierarchical Detection Network for Pedestrian Detection
IEEE Access, 2020 Several or even dozens of times spatial scale variation is one of the major bottleneck for pedestrian detection. Although the Region-based Convolutional Neural Network (R-CNN) families have shown promising results for object detection, they are still ...
Xiaowei Zhang +2 more
doaj +1 more source
Adaptive Weighted Multi-Level Fusion of Multi-Scale Features: A New Approach to Pedestrian Detection
Future Internet, 2021 Great achievements have been made in pedestrian detection through deep learning. For detectors based on deep learning, making better use of features has become the key to their detection effect.
Yao Xu, Qin Yu
doaj +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
HF-YOLO: Advanced Pedestrian Detection Model with Feature Fusion and Imbalance Resolution
Neural Processing LettersPedestrian detection is crucial for various applications, including intelligent transportation and video surveillance systems. Although recent research has advanced pedestrian detection models like the YOLO series, they still face limitations in handling
Lihu Pan +4 more
semanticscholar +1 more source